Oct 2, 2023 · 1h 29m · capital-allocators

Dmitry Balyasny – Multi-Strategy Platform at BAM (EP.341)

Dmitry Balyasny · 1h 8m spoken Ted Seides · 12m spoken
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Ted Seides interviews Dmitry Balyasny, Founder and CIO of Balyasny Asset Management (BAM), exploring his journey from proprietary trader to building a premier $20 billion multi-strategy platform. Balyasny details BAM's institutional risk architecture, collaborative partnership culture, talent development pipelines, and strategic blueprints for multi-asset expansion.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 15.7% of the talking time here. How this is scored →

Ted as informed peer 5.3 Guest teaching 5.1 Guest disagreement 0.4 Ted pushing back 0.1
05100:0020:0040:001:00:001:20:004:25–9:01 · Ted as informed peer 4/10 Episode Overview and Private Equity Deals Announcement Ted opens the conversation smoothly, framing Dmitry's history and asking how he got started in proprietary trading. Dmitry provides an autobiographical account of his early days cold calling as a licensed stockbroker at 18 and losing his commissions teaching himself to trade.9:02–12:14 · Ted as informed peer 4/10 Developing Trading Discipline and Expanding Risk Guardrails Ted asks about early training lessons that formed Dmitry's trading philosophy. Dmitry explains the essential value of having a tightly defined 'box' with strict risk parameters to avoid cognitive overload when starting out.12:15–14:34 · Ted as informed peer 5/10 Scaling from Individual Trader to Team Builder Ted asks how Dmitry scaled from an individual proprietary trader into the early days of building BAM. Dmitry details how he self-funded his first cohort of traders in 1997 and brought on the firm's first fundamental analyst in 1999 despite internal skepticism.14:35–17:23 · Ted as informed peer 5/10 Integrating Catalysts and Sentiment into Short-Term Trading Ted asks whether Dmitry focused on fundamentals before bringing in analysts. Dmitry clarifies that he tracked fundamental change, market reaction, and sentiment shifts over multi-day horizons rather than building long-term discounted cash flow models.17:25–20:12 · Ted as informed peer 4/10 Overview of BAM's Current Multi-Strategy Profile Ted refers to BAM as one of the leading 'pod shops', prompting Dmitry to push back slightly on the pod shop label, explaining that BAM actively builds structured multi-strategy verticals rather than merely acting as a decentralized capital aggregator.20:12–25:11 · Ted as informed peer 5/10 Strategic Blueprinting: Building the Commodities Vertical Ted asks Dmitry to detail the step-by-step blueprinting process for entering new asset classes like commodities. Dmitry systematically breaks down analyzing street competitors, discarding low-Sharpe or long-tail structures, and phasing talent onboarding.25:12–28:13 · Ted as informed peer 5/10 Talent Acquisition Strategy: Opportunistic versus Targeted Recruiting Ted inquires into BAM's process for identifying and vetting PM candidates across strategies. Dmitry explains the balance between opportunistic recruiting (such as standalone fund roll-ins) and targeted quarterly sector gap searches.28:13–30:30 · Ted as informed peer 5/10 BAM's Partnership Culture and Collaborative Advantage Ted asks how BAM differentiates its pitch to PMs amidst fierce industry competition. Dmitry compares BAM's approach to growth-stage venture capital, emphasizing active partnership, infrastructure sharing, and best-practice guidance over hands-off allocation.30:30–32:34 · Ted as informed peer 5/10 Horizontal Information Sharing Across Investment Teams Ted probes into how BAM facilitates actionable cross-asset communication. Dmitry explains the value of equity PMs sharing real-time corporate inflation observations with macro traders and vice versa regarding Fed policy nuances.32:34–36:09 · Ted as informed peer 6/10 Market Efficiency in Portfolio Manager Recruiting Ted asks about the market efficiency of PM recruiting across asset classes. Dmitry breaks down why long/short equity recruiting is highly transparent and efficient compared to lower-latency quant spaces, and articulates why multi-manager platforms structurally outlast single-manager funds.36:09–38:25 · Ted as informed peer 6/10 Generating Alpha: Variant Earnings Forecasts and Multiple Shifts Ted asks how individual PMs generate risk-controlled alpha on the platform. Dmitry provides a masterclass on isolating variant earnings expectations and recognizing multiple contraction or expansion drivers.38:26–44:01 · Ted as informed peer 6/10 Risk Architecture: Volatility Budgets, Drawdowns, and Factor Limits Ted drills down on the quantitative guardrails and risk architecture BAM imposes across books. Dmitry details volatility dollar budgeting, stepped drawdown mechanisms, stress-testing tail risks, and idiosyncratic-versus-factor risk boundaries.44:01–47:26 · Ted as informed peer 6/10 Capital Allocation Mechanics: Blending Top-Down and Bottom-Up Decisions Ted asks how capital flows are orchestrated at the firm level across strategies. Dmitry draws an analogy to Home Depot store-level discretion, explaining BAM's blend of PM band flex (+/-20%) and firm-level strategic shifts.47:28–50:23 · Ted as informed peer 5/10 Sponsor Message: Ridgeline Cloud Platform Following the mid-roll break, Ted asks whether capital shifts at BAM lean toward momentum or mean reversion. Dmitry distinguishes relative value strategies (spread widening mean-reversion) from directional macro and growth equities (momentum-driven).50:24–52:26 · Ted as informed peer 6/10 Navigating Positioning, Generalist Flows, and Crowded Equities Ted asks how Dmitry navigates broader market crowding and positioning dynamics. Dmitry explains that specialist hedge funds thrive when generalist capital is entering, but face severe compounding drawdowns when generalist money departs.52:26–56:02 · Ted as informed peer 5/10 Managing Team Underperformance and Hiring Realism Ted asks about handling PM exits and managing underperformance. Dmitry emphasizes rigorous upfront diligence, realistic expectations regarding analyst contributions, and distinguishing between bad environmental conditions versus poor execution.56:03–58:11 · Ted as informed peer 5/10 Macro Structuring versus Quantitative Equity Management Dmitry contrasts the discretionary structuring in macro books—where trade expression and convex optionality drive returns—with equities where thousands of line items favor quantitative risk management.58:11–1:02:43 · Ted as informed peer 6/10 Dmitry's CIO Dashboard and Firm-Wide Volatility Profile Ted asks Dmitry to address systemic risk and leverage contagion concerns in the multi-strat space. Dmitry counters that long-biased tech and growth funds present far larger gross dollar risks than market-neutral platforms, illustrating his point with BAM's performance in March 2020.1:02:52–1:07:07 · Ted as informed peer 6/10 Institutionalizing the Balance Sheet and Extending Capital Duration Ted inquires about managing the liability side of BAM's balance sheet. Dmitry candidly reflects on early volatile capital cycles and explains how locking in 2-to-3-year institutional capital terms made long-term tech and quant investments possible.1:07:08–1:09:26 · Ted as informed peer 6/10 Secular Growth and Market Share in the Multi-Strat Hedge Fund Space Ted asks how much capital the multi-strat sector can absorb over the next decade. Dmitry explains that while short-term cyclical swings between single-manager beta and multi-manager alpha will occur, the secular trend will mirror private equity and banking concentration.1:09:26–1:14:36 · Ted as informed peer 6/10 The Competitive War for Talent and Market Equilibrium Ted explores the talent supply constraints and asks how BAM compares against behemoths like Citadel and Millennium. Dmitry articulates BAM's competitive sweet spot: offering institutional scale and risk capacity while providing entrepreneurial room to build new verticals.1:14:36–1:19:51 · Ted as informed peer 6/10 Operational Moats and Cross-Functional Agility Ted asks about operational moats and why BAM expanded into growth venture investing. Dmitry explains that private market growth investing is a natural extension of public equity research when backed by dedicated teams and specialized brand building.1:19:51–1:22:13 · Ted as informed peer 5/10 Legging into Credit and Physical Commodities Ted asks about moving lower in the capital structure toward credit and physical commodities. Dmitry outlines BAM's conservative playbook of starting new strategies small, achieving P&L viability, and gradually scaling.4:25–9:01 · Guest teaching 3/10 Episode Overview and Private Equity Deals Announcement Ted opens the conversation smoothly, framing Dmitry's history and asking how he got started in proprietary trading. Dmitry provides an autobiographical account of his early days cold calling as a licensed stockbroker at 18 and losing his commissions teaching himself to trade.9:02–12:14 · Guest teaching 5/10 Developing Trading Discipline and Expanding Risk Guardrails Ted asks about early training lessons that formed Dmitry's trading philosophy. Dmitry explains the essential value of having a tightly defined 'box' with strict risk parameters to avoid cognitive overload when starting out.12:15–14:34 · Guest teaching 4/10 Scaling from Individual Trader to Team Builder Ted asks how Dmitry scaled from an individual proprietary trader into the early days of building BAM. Dmitry details how he self-funded his first cohort of traders in 1997 and brought on the firm's first fundamental analyst in 1999 despite internal skepticism.14:35–17:23 · Guest teaching 4/10 Integrating Catalysts and Sentiment into Short-Term Trading Ted asks whether Dmitry focused on fundamentals before bringing in analysts. Dmitry clarifies that he tracked fundamental change, market reaction, and sentiment shifts over multi-day horizons rather than building long-term discounted cash flow models.17:25–20:12 · Guest teaching 5/10 Overview of BAM's Current Multi-Strategy Profile Ted refers to BAM as one of the leading 'pod shops', prompting Dmitry to push back slightly on the pod shop label, explaining that BAM actively builds structured multi-strategy verticals rather than merely acting as a decentralized capital aggregator.20:12–25:11 · Guest teaching 6/10 Strategic Blueprinting: Building the Commodities Vertical Ted asks Dmitry to detail the step-by-step blueprinting process for entering new asset classes like commodities. Dmitry systematically breaks down analyzing street competitors, discarding low-Sharpe or long-tail structures, and phasing talent onboarding.25:12–28:13 · Guest teaching 5/10 Talent Acquisition Strategy: Opportunistic versus Targeted Recruiting Ted inquires into BAM's process for identifying and vetting PM candidates across strategies. Dmitry explains the balance between opportunistic recruiting (such as standalone fund roll-ins) and targeted quarterly sector gap searches.28:13–30:30 · Guest teaching 5/10 BAM's Partnership Culture and Collaborative Advantage Ted asks how BAM differentiates its pitch to PMs amidst fierce industry competition. Dmitry compares BAM's approach to growth-stage venture capital, emphasizing active partnership, infrastructure sharing, and best-practice guidance over hands-off allocation.30:30–32:34 · Guest teaching 5/10 Horizontal Information Sharing Across Investment Teams Ted probes into how BAM facilitates actionable cross-asset communication. Dmitry explains the value of equity PMs sharing real-time corporate inflation observations with macro traders and vice versa regarding Fed policy nuances.32:34–36:09 · Guest teaching 6/10 Market Efficiency in Portfolio Manager Recruiting Ted asks about the market efficiency of PM recruiting across asset classes. Dmitry breaks down why long/short equity recruiting is highly transparent and efficient compared to lower-latency quant spaces, and articulates why multi-manager platforms structurally outlast single-manager funds.36:09–38:25 · Guest teaching 6/10 Generating Alpha: Variant Earnings Forecasts and Multiple Shifts Ted asks how individual PMs generate risk-controlled alpha on the platform. Dmitry provides a masterclass on isolating variant earnings expectations and recognizing multiple contraction or expansion drivers.38:26–44:01 · Guest teaching 6/10 Risk Architecture: Volatility Budgets, Drawdowns, and Factor Limits Ted drills down on the quantitative guardrails and risk architecture BAM imposes across books. Dmitry details volatility dollar budgeting, stepped drawdown mechanisms, stress-testing tail risks, and idiosyncratic-versus-factor risk boundaries.44:01–47:26 · Guest teaching 5/10 Capital Allocation Mechanics: Blending Top-Down and Bottom-Up Decisions Ted asks how capital flows are orchestrated at the firm level across strategies. Dmitry draws an analogy to Home Depot store-level discretion, explaining BAM's blend of PM band flex (+/-20%) and firm-level strategic shifts.47:28–50:23 · Guest teaching 4/10 Sponsor Message: Ridgeline Cloud Platform Following the mid-roll break, Ted asks whether capital shifts at BAM lean toward momentum or mean reversion. Dmitry distinguishes relative value strategies (spread widening mean-reversion) from directional macro and growth equities (momentum-driven).50:24–52:26 · Guest teaching 5/10 Navigating Positioning, Generalist Flows, and Crowded Equities Ted asks how Dmitry navigates broader market crowding and positioning dynamics. Dmitry explains that specialist hedge funds thrive when generalist capital is entering, but face severe compounding drawdowns when generalist money departs.52:26–56:02 · Guest teaching 6/10 Managing Team Underperformance and Hiring Realism Ted asks about handling PM exits and managing underperformance. Dmitry emphasizes rigorous upfront diligence, realistic expectations regarding analyst contributions, and distinguishing between bad environmental conditions versus poor execution.56:03–58:11 · Guest teaching 5/10 Macro Structuring versus Quantitative Equity Management Dmitry contrasts the discretionary structuring in macro books—where trade expression and convex optionality drive returns—with equities where thousands of line items favor quantitative risk management.58:11–1:02:43 · Guest teaching 6/10 Dmitry's CIO Dashboard and Firm-Wide Volatility Profile Ted asks Dmitry to address systemic risk and leverage contagion concerns in the multi-strat space. Dmitry counters that long-biased tech and growth funds present far larger gross dollar risks than market-neutral platforms, illustrating his point with BAM's performance in March 2020.1:02:52–1:07:07 · Guest teaching 6/10 Institutionalizing the Balance Sheet and Extending Capital Duration Ted inquires about managing the liability side of BAM's balance sheet. Dmitry candidly reflects on early volatile capital cycles and explains how locking in 2-to-3-year institutional capital terms made long-term tech and quant investments possible.1:07:08–1:09:26 · Guest teaching 5/10 Secular Growth and Market Share in the Multi-Strat Hedge Fund Space Ted asks how much capital the multi-strat sector can absorb over the next decade. Dmitry explains that while short-term cyclical swings between single-manager beta and multi-manager alpha will occur, the secular trend will mirror private equity and banking concentration.1:09:26–1:14:36 · Guest teaching 6/10 The Competitive War for Talent and Market Equilibrium Ted explores the talent supply constraints and asks how BAM compares against behemoths like Citadel and Millennium. Dmitry articulates BAM's competitive sweet spot: offering institutional scale and risk capacity while providing entrepreneurial room to build new verticals.1:14:36–1:19:51 · Guest teaching 5/10 Operational Moats and Cross-Functional Agility Ted asks about operational moats and why BAM expanded into growth venture investing. Dmitry explains that private market growth investing is a natural extension of public equity research when backed by dedicated teams and specialized brand building.1:19:51–1:22:13 · Guest teaching 5/10 Legging into Credit and Physical Commodities Ted asks about moving lower in the capital structure toward credit and physical commodities. Dmitry outlines BAM's conservative playbook of starting new strategies small, achieving P&L viability, and gradually scaling.4:25–9:01 · Guest disagreement 0/10 Episode Overview and Private Equity Deals Announcement Ted opens the conversation smoothly, framing Dmitry's history and asking how he got started in proprietary trading. Dmitry provides an autobiographical account of his early days cold calling as a licensed stockbroker at 18 and losing his commissions teaching himself to trade.9:02–12:14 · Guest disagreement 1/10 Developing Trading Discipline and Expanding Risk Guardrails Ted asks about early training lessons that formed Dmitry's trading philosophy. Dmitry explains the essential value of having a tightly defined 'box' with strict risk parameters to avoid cognitive overload when starting out.12:15–14:34 · Guest disagreement 0/10 Scaling from Individual Trader to Team Builder Ted asks how Dmitry scaled from an individual proprietary trader into the early days of building BAM. Dmitry details how he self-funded his first cohort of traders in 1997 and brought on the firm's first fundamental analyst in 1999 despite internal skepticism.14:35–17:23 · Guest disagreement 1/10 Integrating Catalysts and Sentiment into Short-Term Trading Ted asks whether Dmitry focused on fundamentals before bringing in analysts. Dmitry clarifies that he tracked fundamental change, market reaction, and sentiment shifts over multi-day horizons rather than building long-term discounted cash flow models.17:25–20:12 · Guest disagreement 2/10 Overview of BAM's Current Multi-Strategy Profile Ted refers to BAM as one of the leading 'pod shops', prompting Dmitry to push back slightly on the pod shop label, explaining that BAM actively builds structured multi-strategy verticals rather than merely acting as a decentralized capital aggregator.20:12–25:11 · Guest disagreement 0/10 Strategic Blueprinting: Building the Commodities Vertical Ted asks Dmitry to detail the step-by-step blueprinting process for entering new asset classes like commodities. Dmitry systematically breaks down analyzing street competitors, discarding low-Sharpe or long-tail structures, and phasing talent onboarding.25:12–28:13 · Guest disagreement 0/10 Talent Acquisition Strategy: Opportunistic versus Targeted Recruiting Ted inquires into BAM's process for identifying and vetting PM candidates across strategies. Dmitry explains the balance between opportunistic recruiting (such as standalone fund roll-ins) and targeted quarterly sector gap searches.28:13–30:30 · Guest disagreement 0/10 BAM's Partnership Culture and Collaborative Advantage Ted asks how BAM differentiates its pitch to PMs amidst fierce industry competition. Dmitry compares BAM's approach to growth-stage venture capital, emphasizing active partnership, infrastructure sharing, and best-practice guidance over hands-off allocation.30:30–32:34 · Guest disagreement 0/10 Horizontal Information Sharing Across Investment Teams Ted probes into how BAM facilitates actionable cross-asset communication. Dmitry explains the value of equity PMs sharing real-time corporate inflation observations with macro traders and vice versa regarding Fed policy nuances.32:34–36:09 · Guest disagreement 1/10 Market Efficiency in Portfolio Manager Recruiting Ted asks about the market efficiency of PM recruiting across asset classes. Dmitry breaks down why long/short equity recruiting is highly transparent and efficient compared to lower-latency quant spaces, and articulates why multi-manager platforms structurally outlast single-manager funds.36:09–38:25 · Guest disagreement 0/10 Generating Alpha: Variant Earnings Forecasts and Multiple Shifts Ted asks how individual PMs generate risk-controlled alpha on the platform. Dmitry provides a masterclass on isolating variant earnings expectations and recognizing multiple contraction or expansion drivers.38:26–44:01 · Guest disagreement 0/10 Risk Architecture: Volatility Budgets, Drawdowns, and Factor Limits Ted drills down on the quantitative guardrails and risk architecture BAM imposes across books. Dmitry details volatility dollar budgeting, stepped drawdown mechanisms, stress-testing tail risks, and idiosyncratic-versus-factor risk boundaries.44:01–47:26 · Guest disagreement 0/10 Capital Allocation Mechanics: Blending Top-Down and Bottom-Up Decisions Ted asks how capital flows are orchestrated at the firm level across strategies. Dmitry draws an analogy to Home Depot store-level discretion, explaining BAM's blend of PM band flex (+/-20%) and firm-level strategic shifts.47:28–50:23 · Guest disagreement 0/10 Sponsor Message: Ridgeline Cloud Platform Following the mid-roll break, Ted asks whether capital shifts at BAM lean toward momentum or mean reversion. Dmitry distinguishes relative value strategies (spread widening mean-reversion) from directional macro and growth equities (momentum-driven).50:24–52:26 · Guest disagreement 0/10 Navigating Positioning, Generalist Flows, and Crowded Equities Ted asks how Dmitry navigates broader market crowding and positioning dynamics. Dmitry explains that specialist hedge funds thrive when generalist capital is entering, but face severe compounding drawdowns when generalist money departs.52:26–56:02 · Guest disagreement 1/10 Managing Team Underperformance and Hiring Realism Ted asks about handling PM exits and managing underperformance. Dmitry emphasizes rigorous upfront diligence, realistic expectations regarding analyst contributions, and distinguishing between bad environmental conditions versus poor execution.56:03–58:11 · Guest disagreement 0/10 Macro Structuring versus Quantitative Equity Management Dmitry contrasts the discretionary structuring in macro books—where trade expression and convex optionality drive returns—with equities where thousands of line items favor quantitative risk management.58:11–1:02:43 · Guest disagreement 2/10 Dmitry's CIO Dashboard and Firm-Wide Volatility Profile Ted asks Dmitry to address systemic risk and leverage contagion concerns in the multi-strat space. Dmitry counters that long-biased tech and growth funds present far larger gross dollar risks than market-neutral platforms, illustrating his point with BAM's performance in March 2020.1:02:52–1:07:07 · Guest disagreement 0/10 Institutionalizing the Balance Sheet and Extending Capital Duration Ted inquires about managing the liability side of BAM's balance sheet. Dmitry candidly reflects on early volatile capital cycles and explains how locking in 2-to-3-year institutional capital terms made long-term tech and quant investments possible.1:07:08–1:09:26 · Guest disagreement 0/10 Secular Growth and Market Share in the Multi-Strat Hedge Fund Space Ted asks how much capital the multi-strat sector can absorb over the next decade. Dmitry explains that while short-term cyclical swings between single-manager beta and multi-manager alpha will occur, the secular trend will mirror private equity and banking concentration.1:09:26–1:14:36 · Guest disagreement 1/10 The Competitive War for Talent and Market Equilibrium Ted explores the talent supply constraints and asks how BAM compares against behemoths like Citadel and Millennium. Dmitry articulates BAM's competitive sweet spot: offering institutional scale and risk capacity while providing entrepreneurial room to build new verticals.1:14:36–1:19:51 · Guest disagreement 0/10 Operational Moats and Cross-Functional Agility Ted asks about operational moats and why BAM expanded into growth venture investing. Dmitry explains that private market growth investing is a natural extension of public equity research when backed by dedicated teams and specialized brand building.1:19:51–1:22:13 · Guest disagreement 0/10 Legging into Credit and Physical Commodities Ted asks about moving lower in the capital structure toward credit and physical commodities. Dmitry outlines BAM's conservative playbook of starting new strategies small, achieving P&L viability, and gradually scaling.4:25–9:01 · Ted pushing back 0/10 Episode Overview and Private Equity Deals Announcement Ted opens the conversation smoothly, framing Dmitry's history and asking how he got started in proprietary trading. Dmitry provides an autobiographical account of his early days cold calling as a licensed stockbroker at 18 and losing his commissions teaching himself to trade.9:02–12:14 · Ted pushing back 0/10 Developing Trading Discipline and Expanding Risk Guardrails Ted asks about early training lessons that formed Dmitry's trading philosophy. Dmitry explains the essential value of having a tightly defined 'box' with strict risk parameters to avoid cognitive overload when starting out.12:15–14:34 · Ted pushing back 0/10 Scaling from Individual Trader to Team Builder Ted asks how Dmitry scaled from an individual proprietary trader into the early days of building BAM. Dmitry details how he self-funded his first cohort of traders in 1997 and brought on the firm's first fundamental analyst in 1999 despite internal skepticism.14:35–17:23 · Ted pushing back 0/10 Integrating Catalysts and Sentiment into Short-Term Trading Ted asks whether Dmitry focused on fundamentals before bringing in analysts. Dmitry clarifies that he tracked fundamental change, market reaction, and sentiment shifts over multi-day horizons rather than building long-term discounted cash flow models.17:25–20:12 · Ted pushing back 1/10 Overview of BAM's Current Multi-Strategy Profile Ted refers to BAM as one of the leading 'pod shops', prompting Dmitry to push back slightly on the pod shop label, explaining that BAM actively builds structured multi-strategy verticals rather than merely acting as a decentralized capital aggregator.20:12–25:11 · Ted pushing back 0/10 Strategic Blueprinting: Building the Commodities Vertical Ted asks Dmitry to detail the step-by-step blueprinting process for entering new asset classes like commodities. Dmitry systematically breaks down analyzing street competitors, discarding low-Sharpe or long-tail structures, and phasing talent onboarding.25:12–28:13 · Ted pushing back 0/10 Talent Acquisition Strategy: Opportunistic versus Targeted Recruiting Ted inquires into BAM's process for identifying and vetting PM candidates across strategies. Dmitry explains the balance between opportunistic recruiting (such as standalone fund roll-ins) and targeted quarterly sector gap searches.28:13–30:30 · Ted pushing back 0/10 BAM's Partnership Culture and Collaborative Advantage Ted asks how BAM differentiates its pitch to PMs amidst fierce industry competition. Dmitry compares BAM's approach to growth-stage venture capital, emphasizing active partnership, infrastructure sharing, and best-practice guidance over hands-off allocation.30:30–32:34 · Ted pushing back 0/10 Horizontal Information Sharing Across Investment Teams Ted probes into how BAM facilitates actionable cross-asset communication. Dmitry explains the value of equity PMs sharing real-time corporate inflation observations with macro traders and vice versa regarding Fed policy nuances.32:34–36:09 · Ted pushing back 0/10 Market Efficiency in Portfolio Manager Recruiting Ted asks about the market efficiency of PM recruiting across asset classes. Dmitry breaks down why long/short equity recruiting is highly transparent and efficient compared to lower-latency quant spaces, and articulates why multi-manager platforms structurally outlast single-manager funds.36:09–38:25 · Ted pushing back 0/10 Generating Alpha: Variant Earnings Forecasts and Multiple Shifts Ted asks how individual PMs generate risk-controlled alpha on the platform. Dmitry provides a masterclass on isolating variant earnings expectations and recognizing multiple contraction or expansion drivers.38:26–44:01 · Ted pushing back 0/10 Risk Architecture: Volatility Budgets, Drawdowns, and Factor Limits Ted drills down on the quantitative guardrails and risk architecture BAM imposes across books. Dmitry details volatility dollar budgeting, stepped drawdown mechanisms, stress-testing tail risks, and idiosyncratic-versus-factor risk boundaries.44:01–47:26 · Ted pushing back 0/10 Capital Allocation Mechanics: Blending Top-Down and Bottom-Up Decisions Ted asks how capital flows are orchestrated at the firm level across strategies. Dmitry draws an analogy to Home Depot store-level discretion, explaining BAM's blend of PM band flex (+/-20%) and firm-level strategic shifts.47:28–50:23 · Ted pushing back 0/10 Sponsor Message: Ridgeline Cloud Platform Following the mid-roll break, Ted asks whether capital shifts at BAM lean toward momentum or mean reversion. Dmitry distinguishes relative value strategies (spread widening mean-reversion) from directional macro and growth equities (momentum-driven).50:24–52:26 · Ted pushing back 0/10 Navigating Positioning, Generalist Flows, and Crowded Equities Ted asks how Dmitry navigates broader market crowding and positioning dynamics. Dmitry explains that specialist hedge funds thrive when generalist capital is entering, but face severe compounding drawdowns when generalist money departs.52:26–56:02 · Ted pushing back 0/10 Managing Team Underperformance and Hiring Realism Ted asks about handling PM exits and managing underperformance. Dmitry emphasizes rigorous upfront diligence, realistic expectations regarding analyst contributions, and distinguishing between bad environmental conditions versus poor execution.56:03–58:11 · Ted pushing back 0/10 Macro Structuring versus Quantitative Equity Management Dmitry contrasts the discretionary structuring in macro books—where trade expression and convex optionality drive returns—with equities where thousands of line items favor quantitative risk management.58:11–1:02:43 · Ted pushing back 1/10 Dmitry's CIO Dashboard and Firm-Wide Volatility Profile Ted asks Dmitry to address systemic risk and leverage contagion concerns in the multi-strat space. Dmitry counters that long-biased tech and growth funds present far larger gross dollar risks than market-neutral platforms, illustrating his point with BAM's performance in March 2020.1:02:52–1:07:07 · Ted pushing back 0/10 Institutionalizing the Balance Sheet and Extending Capital Duration Ted inquires about managing the liability side of BAM's balance sheet. Dmitry candidly reflects on early volatile capital cycles and explains how locking in 2-to-3-year institutional capital terms made long-term tech and quant investments possible.1:07:08–1:09:26 · Ted pushing back 0/10 Secular Growth and Market Share in the Multi-Strat Hedge Fund Space Ted asks how much capital the multi-strat sector can absorb over the next decade. Dmitry explains that while short-term cyclical swings between single-manager beta and multi-manager alpha will occur, the secular trend will mirror private equity and banking concentration.1:09:26–1:14:36 · Ted pushing back 0/10 The Competitive War for Talent and Market Equilibrium Ted explores the talent supply constraints and asks how BAM compares against behemoths like Citadel and Millennium. Dmitry articulates BAM's competitive sweet spot: offering institutional scale and risk capacity while providing entrepreneurial room to build new verticals.1:14:36–1:19:51 · Ted pushing back 0/10 Operational Moats and Cross-Functional Agility Ted asks about operational moats and why BAM expanded into growth venture investing. Dmitry explains that private market growth investing is a natural extension of public equity research when backed by dedicated teams and specialized brand building.1:19:51–1:22:13 · Ted pushing back 0/10 Legging into Credit and Physical Commodities Ted asks about moving lower in the capital structure toward credit and physical commodities. Dmitry outlines BAM's conservative playbook of starting new strategies small, achieving P&L viability, and gradually scaling.

speaking balance: gold is Ted, purple is the guest (3 minute bins)

0:00 · Ted 100% · guest 0%0:00 · Ted 100% · guest 0%3:00 · Ted 89.9% · guest 10.1%3:00 · Ted 89.9% · guest 10.1%6:00 · Ted 17.5% · guest 82.5%6:00 · Ted 17.5% · guest 82.5%9:00 · Ted 3.5% · guest 96.5%9:00 · Ted 3.5% · guest 96.5%12:00 · Ted 9.1% · guest 90.9%12:00 · Ted 9.1% · guest 90.9%15:00 · Ted 7.1% · guest 92.9%15:00 · Ted 7.1% · guest 92.9%18:00 · Ted 12.2% · guest 87.8%18:00 · Ted 12.2% · guest 87.8%21:00 · Ted 17.2% · guest 82.8%21:00 · Ted 17.2% · guest 82.8%24:00 · Ted 9.5% · guest 90.5%24:00 · Ted 9.5% · guest 90.5%27:00 · Ted 8.4% · guest 91.6%27:00 · Ted 8.4% · guest 91.6%30:00 · Ted 6.3% · guest 93.7%30:00 · Ted 6.3% · guest 93.7%33:00 · Ted 8.8% · guest 91.2%33:00 · Ted 8.8% · guest 91.2%36:00 · Ted 8.5% · guest 91.5%36:00 · Ted 8.5% · guest 91.5%39:00 · Ted 2.8% · guest 97.2%39:00 · Ted 2.8% · guest 97.2%42:00 · Ted 3.2% · guest 96.8%42:00 · Ted 3.2% · guest 96.8%45:00 · Ted 17.8% · guest 82.2%45:00 · Ted 17.8% · guest 82.2%48:00 · Ted 40.7% · guest 59.3%48:00 · Ted 40.7% · guest 59.3%51:00 · Ted 1.1% · guest 98.9%51:00 · Ted 1.1% · guest 98.9%54:00 · Ted 0% · guest 100%54:00 · Ted 0% · guest 100%57:00 · Ted 21.2% · guest 78.8%57:00 · Ted 21.2% · guest 78.8%1:00:00 · Ted 4.7% · guest 95.3%1:00:00 · Ted 4.7% · guest 95.3%1:03:00 · Ted 0% · guest 100%1:03:00 · Ted 0% · guest 100%1:06:00 · Ted 6.3% · guest 93.7%1:06:00 · Ted 6.3% · guest 93.7%1:09:00 · Ted 25.5% · guest 74.5%1:09:00 · Ted 25.5% · guest 74.5%1:12:00 · Ted 8.2% · guest 91.8%1:12:00 · Ted 8.2% · guest 91.8%1:15:00 · Ted 7.5% · guest 92.5%1:15:00 · Ted 7.5% · guest 92.5%1:18:00 · Ted 6.3% · guest 93.7%1:18:00 · Ted 6.3% · guest 93.7%1:21:00 · Ted 6.9% · guest 93.1%1:21:00 · Ted 6.9% · guest 93.1%1:24:00 · Ted 1.7% · guest 98.3%1:24:00 · Ted 1.7% · guest 98.3%1:27:00 · Ted 21.5% · guest 78.5%1:27:00 · Ted 21.5% · guest 78.5%
Sharpest disagreement ▶ 59:41 Dmitry rejects the notion that multi-strats pose unique systemic risk

Dmitry forcefully refutes Ted's prompt regarding leverage contagion in multi-strats, arguing that long-biased tech and mutual funds represent far greater systemic dollar risks than market-neutral equity books.

Hardest push from Ted ▶ 59:15 Ted presses on industry-wide leverage and systemic contagion risks

Ted directly challenges Dmitry on the concentration of leverage and correlated strategies across peer multi-managers, asking if a systemic unwind could trigger market contagion.

Biggest teaching moment ▶ 34:05 Dmitry explains why multi-strats survive while single managers fail

Dmitry illustrates why standalone specialist equity funds inevitably fail during cyclical sector downturns, schooling listeners on how multi-manager balance sheets provide the structural runway needed to adapt.

Ted holds their own ▶ 21:53 Ted synthesizes risk guardrails with aggressive PM talent onboarding

Ted connects Dmitry's early proprietary trading risk parameters with the tension of managing high-pedigree PMs who demand immediate maximum risk allocation on day one.

the scores for every segment, with the reasoning behind each
ChapterTopicTed as informed peerGuest teachingGuest disagreementTed pushing backWhy
Episode Overview and Private Equity Deals Announcement 4300 Ted opens the conversation smoothly, framing Dmitry's history and asking how he got started in proprietary trading. Dmitry provides an autobiographical account of his early days cold calling as a licensed stockbroker at 18 and losing his commissions teaching himself to trade.
Developing Trading Discipline and Expanding Risk Guardrails 4510 Ted asks about early training lessons that formed Dmitry's trading philosophy. Dmitry explains the essential value of having a tightly defined 'box' with strict risk parameters to avoid cognitive overload when starting out.
Scaling from Individual Trader to Team Builder 5400 Ted asks how Dmitry scaled from an individual proprietary trader into the early days of building BAM. Dmitry details how he self-funded his first cohort of traders in 1997 and brought on the firm's first fundamental analyst in 1999 despite internal skepticism.
Integrating Catalysts and Sentiment into Short-Term Trading 5410 Ted asks whether Dmitry focused on fundamentals before bringing in analysts. Dmitry clarifies that he tracked fundamental change, market reaction, and sentiment shifts over multi-day horizons rather than building long-term discounted cash flow models.
Overview of BAM's Current Multi-Strategy Profile 4521 Ted refers to BAM as one of the leading 'pod shops', prompting Dmitry to push back slightly on the pod shop label, explaining that BAM actively builds structured multi-strategy verticals rather than merely acting as a decentralized capital aggregator.
Strategic Blueprinting: Building the Commodities Vertical 5600 Ted asks Dmitry to detail the step-by-step blueprinting process for entering new asset classes like commodities. Dmitry systematically breaks down analyzing street competitors, discarding low-Sharpe or long-tail structures, and phasing talent onboarding.
Talent Acquisition Strategy: Opportunistic versus Targeted Recruiting 5500 Ted inquires into BAM's process for identifying and vetting PM candidates across strategies. Dmitry explains the balance between opportunistic recruiting (such as standalone fund roll-ins) and targeted quarterly sector gap searches.
BAM's Partnership Culture and Collaborative Advantage 5500 Ted asks how BAM differentiates its pitch to PMs amidst fierce industry competition. Dmitry compares BAM's approach to growth-stage venture capital, emphasizing active partnership, infrastructure sharing, and best-practice guidance over hands-off allocation.
Horizontal Information Sharing Across Investment Teams 5500 Ted probes into how BAM facilitates actionable cross-asset communication. Dmitry explains the value of equity PMs sharing real-time corporate inflation observations with macro traders and vice versa regarding Fed policy nuances.
Market Efficiency in Portfolio Manager Recruiting 6610 Ted asks about the market efficiency of PM recruiting across asset classes. Dmitry breaks down why long/short equity recruiting is highly transparent and efficient compared to lower-latency quant spaces, and articulates why multi-manager platforms structurally outlast single-manager funds.
Generating Alpha: Variant Earnings Forecasts and Multiple Shifts 6600 Ted asks how individual PMs generate risk-controlled alpha on the platform. Dmitry provides a masterclass on isolating variant earnings expectations and recognizing multiple contraction or expansion drivers.
Risk Architecture: Volatility Budgets, Drawdowns, and Factor Limits 6600 Ted drills down on the quantitative guardrails and risk architecture BAM imposes across books. Dmitry details volatility dollar budgeting, stepped drawdown mechanisms, stress-testing tail risks, and idiosyncratic-versus-factor risk boundaries.
Capital Allocation Mechanics: Blending Top-Down and Bottom-Up Decisions 6500 Ted asks how capital flows are orchestrated at the firm level across strategies. Dmitry draws an analogy to Home Depot store-level discretion, explaining BAM's blend of PM band flex (+/-20%) and firm-level strategic shifts.
Sponsor Message: Ridgeline Cloud Platform 5400 Following the mid-roll break, Ted asks whether capital shifts at BAM lean toward momentum or mean reversion. Dmitry distinguishes relative value strategies (spread widening mean-reversion) from directional macro and growth equities (momentum-driven).
Navigating Positioning, Generalist Flows, and Crowded Equities 6500 Ted asks how Dmitry navigates broader market crowding and positioning dynamics. Dmitry explains that specialist hedge funds thrive when generalist capital is entering, but face severe compounding drawdowns when generalist money departs.
Managing Team Underperformance and Hiring Realism 5610 Ted asks about handling PM exits and managing underperformance. Dmitry emphasizes rigorous upfront diligence, realistic expectations regarding analyst contributions, and distinguishing between bad environmental conditions versus poor execution.
Macro Structuring versus Quantitative Equity Management 5500 Dmitry contrasts the discretionary structuring in macro books—where trade expression and convex optionality drive returns—with equities where thousands of line items favor quantitative risk management.
Dmitry's CIO Dashboard and Firm-Wide Volatility Profile 6621 Ted asks Dmitry to address systemic risk and leverage contagion concerns in the multi-strat space. Dmitry counters that long-biased tech and growth funds present far larger gross dollar risks than market-neutral platforms, illustrating his point with BAM's performance in March 2020.
Institutionalizing the Balance Sheet and Extending Capital Duration 6600 Ted inquires about managing the liability side of BAM's balance sheet. Dmitry candidly reflects on early volatile capital cycles and explains how locking in 2-to-3-year institutional capital terms made long-term tech and quant investments possible.
Secular Growth and Market Share in the Multi-Strat Hedge Fund Space 6500 Ted asks how much capital the multi-strat sector can absorb over the next decade. Dmitry explains that while short-term cyclical swings between single-manager beta and multi-manager alpha will occur, the secular trend will mirror private equity and banking concentration.
The Competitive War for Talent and Market Equilibrium 6610 Ted explores the talent supply constraints and asks how BAM compares against behemoths like Citadel and Millennium. Dmitry articulates BAM's competitive sweet spot: offering institutional scale and risk capacity while providing entrepreneurial room to build new verticals.
Operational Moats and Cross-Functional Agility 6500 Ted asks about operational moats and why BAM expanded into growth venture investing. Dmitry explains that private market growth investing is a natural extension of public equity research when backed by dedicated teams and specialized brand building.
Legging into Credit and Physical Commodities 5500 Ted asks about moving lower in the capital structure toward credit and physical commodities. Dmitry outlines BAM's conservative playbook of starting new strategies small, achieving P&L viability, and gradually scaling.

Statements from this episode (54)

Assertion Not checkable as stated
Balyasny reinvested broker commissions into his personal trading account at 18
“Turned 18, I was licensed as a stock broker, got a job at a small firm, mostly cold calling, trying to get new clients, and I started reinvesting the commissions that I earned from being a broker to my own trading account.”
Dmitry Balyasny Oct 2, 2023 ▶ 6:40
Insight
Novice traders should master a narrow risk box before expanding scope
“You just create, like, a very well-defined small box to start, where you just have, like, a few elements to worry about. Only had a small number of trades, a small number of potential trading instruments, small holding periods, You kind of define the types of …”
Dmitry Balyasny Oct 2, 2023 ▶ 9:34
Disclosure
Morning trading strategy focused on relative weakness and market reversals
“In the morning, a lot of times, you look for reversal trades, where the market would open up, and you look for stocks that weren't trading well versus the market, and they were showing relative weakness versus the market, and industries that were showing relat…”
Dmitry Balyasny Oct 2, 2023 ▶ 11:03
Disclosure
Afternoon trading strategy centered on momentum and multi-day position building
“In the afternoon, it was typically more momentum type trading where you're looking for things that were really outperforming during the day, continued to gather momentum into the afternoon session where They might be a multi-day type of trade. You were trying …”
Dmitry Balyasny Oct 2, 2023 ▶ 11:36
Insight
Managing large capital requires developing longer-term fundamental views on companies
“I thought we wanted to manage more capital and hold positions longer. The only way you can do those things is you have to have a view on companies longer term.”
Dmitry Balyasny Oct 2, 2023 ▶ 13:59
Disclosure
Early trading focused on short-term catalysts over long-term valuation models
“I was focused on the change in fundamentals and news flow, so I wasn't focused on fundamentals of trying to figure out what a company was going to earn next year, but we were focused on what is driving the stock for the next few days and few weeks. We weren't …”
Dmitry Balyasny Oct 2, 2023 ▶ 14:35
Disclosure
BAM began as a prop fund with only Balyasny and Schoenfeld investing
“We became a hedge fund, but with proprietary capital where myself and Steve Schoenfeld were the only investors, and then we fully spun it out and started taking external capital and also piece by piece weaned ourselves off of the middle and back office and sta…”
Dmitry Balyasny Oct 2, 2023 ▶ 16:42
Disclosure
BAM's fundamental equity risk dropped from 100% to roughly 50%
“So fundamental long short equity trading is still the largest strategy, but that's down from being a hundred percent of the risk in the early days. Even five years ago, it was probably 85% of the risk. Now it's about 45 to 50% of the risk.”
Dmitry Balyasny Oct 2, 2023 ▶ 17:37
Insight
Scaling multi-strategy verticals requires partnering with business builders, not just capital
“So it's much more than just hiring people and giving them capital, although that's obviously a significant and important part of it, but a lot of it is you're really trying to partner with business builders in these different areas that bring a lot of that Tho…”
Dmitry Balyasny Oct 2, 2023 ▶ 19:48
Disclosure
BAM avoided physical commodity trading initially because it takes years to build
“For example, you know, physical trading takes a long time to build out. We didn't want to start with that.”
Dmitry Balyasny Oct 2, 2023 ▶ 20:53
Opinion
BAM avoids long-term CTA strategies due to unappealing Sharpe ratios
“Or some things have sharp ratios that we're not excited about. So traditional long-term CTA type trading, we're not really that excited about.”
Dmitry Balyasny Oct 2, 2023 ▶ 20:59
Insight
Balyasny says five- and ten-year trading business plans are completely unhelpful
“I think five- and ten-year plans, I think markets change too much, and it's not usually that helpful, but I think one, two, three years is pretty helpful, and then you're obviously iterating those every year.”
Dmitry Balyasny Oct 2, 2023 ▶ 24:56
Disclosure
BAM has executed several fund roll-ins with more in progress
“You have the fun roll-in piece. We've done a few of these recently. We have a couple more in process where guys have done reasonably well as an independent shop, but they haven't been able to scale the business to where they've liked”
Dmitry Balyasny Oct 2, 2023 ▶ 26:04
Insight
Small independent hedge funds suffer from severe adverse selection in hiring
“They have negative hiring and retention selection because they can't compensate their teams as well. They have negative technology and data selection because you can't invest as much in that. And just the time suck of managing all that versus trading and inves…”
Dmitry Balyasny Oct 2, 2023 ▶ 26:18
Disclosure
Balyasny Asset Management is building a growth-stage venture capital vertical
“We're building a growth stage, venture capital business is another vertical.”
Dmitry Balyasny Oct 2, 2023 ▶ 28:49
Insight
Specialist PMs get hurt by cross-market spillovers, not sector surprises
“In order to be a really effective specialist PM, they typically don't get hurt when there's something in their area of specialty that they're surprised by. Like, they're usually all over that. But they usually get hurt when there's something that's rolling thr…”
Dmitry Balyasny Oct 2, 2023 ▶ 31:58
Insight
Talent mapping is efficient in equity long/short but inefficient in quants
“It's relatively efficient. I think it depends on the transparency of the strategy. So equity long short, I would say is pretty efficient. There's a lot of teams. They all go to the same conferences. A lot of them know each other. People move around. Analysts m…”
Dmitry Balyasny Oct 2, 2023 ▶ 32:47
Insight
Running a standalone long/short equity sector fund is extremely difficult
“I think in longshirt equity, it's very hard to run a standalone sector fund. I mean, it's hard to run any sort of fund. You have all the challenges from running an equity fund, but then on top of that, you have all the challenges from running a specialist equi…”
Dmitry Balyasny Oct 2, 2023 ▶ 33:32
Assertion Not checkable as stated
Multi-strat funds survived Schonfeld's early days while single-manager funds failed
“If you look today and see how many of those funds are still around, very, very few of the single manager funds are still around. But the multi-strats we invested in at the time, most of them are around.”
Dmitry Balyasny Oct 2, 2023 ▶ 35:09
Insight
Senior PMs distinguish themselves by predicting multiple changes, not just earnings
“A big difference between a more junior analyst and a more senior analyst and then a PM It's really an understanding the drivers, the story, the sentiment, which will lead to the multiple change. The frequent complaint you get from analysts when they're going t…”
Dmitry Balyasny Oct 2, 2023 ▶ 37:48
Disclosure
BAM allocates capital by multiplying volatility dollars by expected Sharpe ratio
“So we allocate capital in the form of volatility dollars, and then somebody has an expected sharp, and they multiply that sharp times the vol dollars to arrive at their expected P&L for the year.”
Dmitry Balyasny Oct 2, 2023 ▶ 38:32
Disclosure
BAM uses multi-step drawdowns to prevent drastic portfolio cuts at once
“And so you have like a drawdown framework that's very objective and clear that everybody signs off on on day one. And that's multi-step, so you're not forced to reduce the portfolio by a large chunk at any one time.”
Dmitry Balyasny Oct 2, 2023 ▶ 38:45
Insight
Promoted analysts usually know stock picking but lack portfolio construction skills
“So typically they'll know stock picking, but they won't know portfolio construction. They might've not had a lot of experience to trading. They probably wouldn't have managed a lot of people before.”
Dmitry Balyasny Oct 2, 2023 ▶ 41:22
Disclosure
BAM increased its allocation to macro strategies from 15% to 25%
“So we might take macro, for example, from 15% to 25% if we feel like the macro opportunity set just got a lot better, which we did the last couple of years.”
Dmitry Balyasny Oct 2, 2023 ▶ 46:52
Insight
Relative value strategies require preserving capital ammunition during drawdown periods
“And so those are more on a mean reversion basis, where those guys will pick up their hands and go, this is the time we need to step up. And the trick is you want to hopefully have navigated the drawdown period well enough to where you have the ammunition to st…”
Dmitry Balyasny Oct 2, 2023 ▶ 49:24
Insight
Directional macro and growth equities justify momentum-based capital allocation scaling
“Other strategies that are, I would say, a little bit more momentumy, like the growthy sectors in equity investing, or directional macro trading, those tend to be a little bit more momentumy, where a good environment feeds a good environment for periods of time…”
Dmitry Balyasny Oct 2, 2023 ▶ 50:03
Insight
The best trading environments happen when generalist capital inflows are high
“In general, the best environment is when there's a lot of generalist participation in a strategy, and there's a lot of money coming into a strategy. Because then your specialist participants, whether they're trading bonds, currencies, commodities, equities, li…”
Dmitry Balyasny Oct 2, 2023 ▶ 50:54
Insight
Specialist-only trading environments create low risk tolerance and cascading drawdowns
“Another side, the worst environment is when there is no generalist capital, and money's flowing out of the strategy, and the specialists in the strategy are all underwater. And so in that environment, you're trading against other specialists, and nobody has mu…”
Dmitry Balyasny Oct 2, 2023 ▶ 51:13
Disclosure
BAM adjusts sub-strategy risk up or down 50% based on market regime
“Your risk in a particular sub-strategy could be up or down 50% very easily if you're in a good period versus poor period.”
Dmitry Balyasny Oct 2, 2023 ▶ 51:54
Insight
Team building is the biggest gating factor for scaling portfolio managers
“The biggest gating factor to someone's success growing from a first-time PM to an experienced PM or a small PM to a large PM is their ability to build a team, to manage a team.”
Dmitry Balyasny Oct 2, 2023 ▶ 52:47
Insight
Young hedge fund analysts take a couple of years to become additive
“So we see a lot of times you'll have a younger PM. And by definition, they'll then wind up almost always hiring really young analysts, and the expectation is this person's going to come in and help me make a lot of money. It's just not realistic. At the stage …”
Dmitry Balyasny Oct 2, 2023 ▶ 53:25
Insight
Firms hiring portfolio managers in three days fire just as fast
“You want to be aggressive and move quickly, but if you're going to take three days to hire somebody, they'll probably take three days to fire somebody.”
Dmitry Balyasny Oct 2, 2023 ▶ 56:54
Assertion Not checkable as stated
BAM has averaged 4% to 4.5% volatility over five years
“We've averaged about a four to four and a half percent vol as a fund for the last, I'd say probably five years.”
Dmitry Balyasny Oct 2, 2023 ▶ 58:46
Disclosure
Balyasny says BAM's equity strategy typically averages around 4x leverage
“Equity tends to average around four.”
Dmitry Balyasny Oct 2, 2023 ▶ 59:06
Opinion
Long-bias funds pose far greater dollar risk than market-neutral multi-strat platforms
“I think for some reason it gets singled out to this space, but much larger risk in dollars is the more long bias strategies that are common across other areas. So if you look at last year and you think about the meltdown in growth investing and whether that wa…”
Dmitry Balyasny Oct 2, 2023 ▶ 59:43
Assertion Supported
BAM delivered 20 positive years out of 21 with zero correlation
“We've had, knock on wood, 20 out of 21 positive years, and very consistent volatility, and drawdown management, and Zero correlation over that time.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:03:57
Disclosure
BAM shifted entirely to two- and three-year duration capital lockups
“Today it's all Two and three year capital up from, you know, monthly and quarterly capital five years ago.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:05:36
Insight
Short-duration capital cripples quantitative hedge fund recruiting due to non-competes
“If you hire a quant PM today, a lot of them have two year sit outs, and then they take another year to build. So they have to believe that they're joining a place that's going to have plenty of capital and resources for them to deploy three years from now. So …”
Dmitry Balyasny Oct 2, 2023 ▶ 1:06:03
Assertion Supported
Multi-strategy platforms hugely outperformed single-manager hedge funds in 2022
“So last year, the Multi-strap, multi-PM space, hugely outperformed the single manager space.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:07:45
Prediction Not checkable as stated
Multi-strategy platforms will continue consolidating market share and trading talent
“But if you look at it over five, 10, 15, twenty-year periods, I think the secular trend is going to be sustained. So if you look at the market share in terms of investor dollars, or the market share even more so in terms of the alpha pie in the markets, or the…”
Dmitry Balyasny Oct 2, 2023 ▶ 1:08:18
Insight
Overcrowded trading strategies rapidly shift talent from overbid to unbid
“If you have a strategy that's done well, and everybody's making money in that strategy, the talent in that strategy tends to get bid up. Then more people build teams in that area, more people overpay for the cost of building those teams, more capital gets depl…”
Dmitry Balyasny Oct 2, 2023 ▶ 1:10:08
Disclosure
BAM is still building its quantitative trading business and infrastructure
“The quant businesses there, for example, are very developed, whereas we're in the process of building out a quant business. So they have the advantage of having that P&L stream where we don't yet, and they have the infrastructure for it where we're building.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:11:49
Insight
Starting an independent hedge fund makes no sense 99% of the time
“It's a way to attract people who are very entrepreneurial and who are real business builders, whereas 20 years ago they probably would have just started their own fund, but now the industry has evolved to where there's so many impediments to doing that and so …”
Dmitry Balyasny Oct 2, 2023 ▶ 1:12:17
Prediction Not checkable as stated
Cross-strategy infrastructure will increasingly differentiate hedge fund returns
“More and more, I think that's going to be a differentiator in return because the commoditized stuff that's fairly easy to do, by definition, more and more people are going to do that.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:15:29
Insight
Painful-to-build trading businesses create lasting competitive moats around hedge funds
“So we kind of like those areas where you can export some of your capabilities, but that are difficult and painful to build because it keeps competition up. It might take you a number of years, but if you can do it, you got to moat around the business.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:15:46
Insight
Series D companies fundamentally resemble multi-billion-dollar publicly traded stocks
“So if you're looking at a private company, that's a growth company raising a series D round. Is that dissimilar from a publicly traded company with a couple billion dollar market cap that your public PMs are investing in? Most of the time, it's not that differ…”
Dmitry Balyasny Oct 2, 2023 ▶ 1:17:03
Insight
Public hedge fund managers cannot effectively execute private investments directly
“But there's also a lot of particulars in the private space, so you have to build that capability separately. You can't just have public guys do it. You can leverage off of their skills and team with them, but it's different because first of all, you have to ha…”
Dmitry Balyasny Oct 2, 2023 ▶ 1:17:27
Disclosure
BAM runs IPO teach-ins for venture-backed founders preparing to go public
“So we do teach-ins between the private PMs, the public PMs, your equity capital markets desk, and a venture capital fund that'll bring a bunch of founders who are looking to go public in the next few years, and we'll do a teach-in for them.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:18:25
Disclosure
BAM is working on expanding into physical commodities trading
“If you had success in financial commodities, then you can look at physical and how do you leg into physical? So we're starting to work on that.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:20:43
Insight
Analysis paralysis destroys opportunities; investors must get involved to truly learn
“You could do analysis forever, and if by the time it becomes obvious, usually the opportunity is gone, and so a lot of times you're not really going to learn everything until you're involved. You just got to figure out how to get involved in a risk responsible…”
Dmitry Balyasny Oct 2, 2023 ▶ 1:22:53
Disclosure
BAM missed the 2008 subprime short despite Balyasny's personal stakes
“We wound up not putting it on, even though we personally had money in the Paulson Mortgage Short Fund. We made some money personally on that and with employees, but we never made a big dent in the fund, which was Huge miss.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:24:04
Assertion Not checkable as stated
Balyasny's parents cleaned motels for $3 an hour after emigrating
“My dad was a college professor in Kiev. My mom was an engineer. They came here, they were cleaning motel rooms for three dollars an hour.”
Dmitry Balyasny Oct 2, 2023 ▶ 1:27:24
Disclosure
Thomas H. Lee invested in BAM when it had $300M AUM
“We had an early investor, Tom Lee, who ran a successful private equity firm, and I think we had three hundred million under management or something when he invested with us, and he had a big family office that was a prominent hedge fund investor”
Dmitry Balyasny Oct 2, 2023 ▶ 1:27:50
Insight
Thomas H. Lee's advice to asset managers: 'do it big'
“This business is a pain in the ass. If you're gonna do it, you might as well do it big. He's like, it's a pain either way. Cause you're always dealing with lots of different constituencies and lots of different people plus the markets. So if you're going to bo…”
Dmitry Balyasny Oct 2, 2023 ▶ 1:28:10
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