Odds on Open

Ethan Kho

Conversations with leading thinkers on trading and investing. Hosted by Ethan Kho. Produced by Patrick Kho.

  1. 17h ago

    World's #1 Oil Hedge Fund Manager: How I Made 200% While Everyone Lost 60%

    Checkout Flux 4.0 here: https://www.flux.live/flux4/index.htmlJosh Young (Bison Capital) on Energy Alpha, Deep Value, and Activism in Small-Cap Oil & Gas: Josh Young runs a concentrated, long-only public equities energy fund that's up 200% since inception while the energy sector is down 60% — a spread he calls a statistical impossibility. In this episode, Josh breaks down the process behind that outperformance: why he screens for large discounts to liquidation value and third-party reserve appraisals, how being chairman of a public E&P rewired his view of oil and gas as a capital allocation business, and why returns on invested capital and inflection points matter more than static free cash flow yields. He explains why he refuses to short stocks, how he sizes positions across speculative, medium, and high-conviction buckets, and why deleveraging setups — companies going from 4x debt/EBITDA to under 1x — have driven the bulk of his idiosyncratic returns. He also walks through the Abqaiq attack in real time as an example of why almost nobody has edge on short-term crude direction.The conversation goes deep on where alpha actually lives in energy markets: activist campaigns and proxy fights in small-cap E&Ps, co-investment vehicles for concentrated activist positions, the principal-agent problem that keeps allocators, endowments, and ESG-constrained institutions out of oil and gas, and the Fama-French small-cap illiquidity premium that makes an out-of-favor sector fertile ground. Josh discusses CTA and commitment-of-traders positioning as a timing input, energy's collapse to 4% of the S&P 500 versus a four-decade average above 10%, the long-cycle case for $250 oil, and why finding public-but-undisseminated data in state and provincial filings still produces real edge. He closes on the limits of AI in fundamental energy research, why oil companies bragging about AI-driven operations tend to underperform, and what most energy traders get wrong about left-tail risk, volatility, and buying the fundamentals instead of the macro. Essential viewing for hedge fund analysts, portfolio managers, commodity traders, allocators, and anyone studying deep value investing, portfolio construction, and edge in liquid markets.

  2. Jul 30

    The Strategy Behind Asia’s $6 Billion Quant Fund: Quantedge

    Checkout Flux 4.0 here: https://www.flux.live/Suhaimi Zainul-Abidi is the CEO of Quantedge, the Singapore-based systematic hedge fund that has compounded at roughly 20% net annualized returns for 20 years — growing from $3 million raised from friends and family to over $6 billion in AUM, with close to $5 billion of that from investment gains rather than fundraising. In this episode of Odds on Open, Suhaimi breaks down Quantedge's founding thesis and why the firm's real edge isn't informational: with close to 300 distinct markets traded across equities, commodities, rates and FX, breadth and independent bets let them target ~25% annualized volatility without risk of ruin. We go deep on risk premia and factor-based market-neutral strategies, why economic rationale must come before empirical evidence in the research pipeline, why they refuse to run a black box they can't explain, and how they think about signal versus noise in alternative data, narratives and news flow. Suhaimi also gives a clear-eyed view on generative AI in portfolio management — transformational for research productivity, data cleaning and execution, but deliberately kept out of the production models.The second half is essential listening for emerging managers, allocators and anyone building an asset management business. Suhaimi explains why Quantedge turned down the obvious scaling path — a lower-vol, allocator-friendly product — and why he believes chasing capital on someone else's terms is the mistake that kills early-stage funds. He details the 2018 decision to introduce fixed-term and semi-perpetual share classes, the estimated cost of that call (he thinks they'd be a $20 billion fund without it), and the deeper insight behind it: funds rarely die from drawdowns, they die from redemptions arriving at the worst possible moment. We also cover Class Q and permanent capital as employee alignment, why Quantedge hires almost exclusively out of school rather than poaching mid-career PMs, what a broad definition of meritocracy looks like inside a quant fund, his own path from law to running the firm, capital consolidation and the rise of AI-native allocators, and the case for patience and conviction in building a 50-year compounding machine.00:00 Intro1:34 Founding thesis: $3M to a $6B quant fund6:06 Why the edge is breadth, not information10:40 A Message from ONYX11:20 Scaling to $6B without chasing allocator capital15:25 Why they refuse an allocator-friendly low-vol version18:21 No black boxes: holding conviction at 25% vol23:22 News flow, narratives, and where AI actually helps30:29 Hiring fresh grads and retaining quant talent38:51 From lawyer to CEO of a quant fund49:19 Capital consolidation and the AI-native allocator54:52 The capital trap that kills emerging managers58:54 Fixed-term lockups and why funds actually die1:04:48 Class Q, permanent capital, and employee alignment1:18:59 How to build a 50-year compounding business

  3. Jul 23

    Ex-Balyasny PM: “Automation will increase demand for hedge fund talent.”

    In this episode of Odds on Open, former Balyasny Asset Management (BAM) quantamental portfolio manager and Imply founder Ying Hua breaks down how top multi-manager hedge funds synthesize quantitative discipline with discretionary analysis to extract repeatable market alpha. Ying details the mechanics of constructing a systematic quantamental framework—ranging from automating volatility-adjusted position sizing to eliminate behavioral bias, to scraping granular alternative data sets like state highway patrol records and geospatial tracking for asymmetric earnings trades. The conversation draws a sharp line between quantitative pattern matching and fundamental situational judgment, exposing how institutional investors capture edge where pure quants and traditional fundamental analysts both miss the mark.The deep dive extends into the frontier of AI in portfolio management, dissecting why off-the-shelf LLMs fall short without ticker-level financial knowledge graphs and specialized domain context. Ying analyzes how automated data workflows impact earnings print volatility, why pod shop equity trading increasingly mirrors high-stakes poker dictated by positioning dynamics rather than static valuations, and how junior analysts can identify high-alpha sectors. Tailored for hedge fund PMs, quants, equity research analysts, allocators, and MFE/MBA candidates, this episode delivers rigorous mental models on market microstructure, regime shifts, and process automation in liquid markets.00:00 Intro01:07 Positioning and position sizing in a quantamental framework02:30 Quant pattern matching vs fundamental situational edge04:47 Automating position sizing to remove emotional bias06:35 A message from ONYX07:03 Extracting alpha from alternative data: Scraped highway and disaster mapping11:54 Which parts of the fundamental investment process can AI automate?16:53 Why market automation increases earnings print volatility20:29 Structural limitations of using general LLMs for portfolio management27:32 Building ticker-level domain knowledge graphs for AI workflows30:29 Why specialized finance workflows beat commoditized AI wrappers36:48 Will AI make liquid markets more efficient?39:34 How fundamental PMs should redesign workflows for the AI era42:08 What core competencies define elite talent in modern pod shops?48:52 Why multi-manager equity trading resembles high-stakes poker52:29 How junior analysts should evaluate sector alpha and career edge58:23 Evaluating personal drawdowns, self-awareness, and P&L meritocracy01:08:51 Reconstructing market narratives from first principles

  4. Jul 16

    ~100% Returns in 2025, No Losing Year Since 2008: Erik Smolinski on Edge for Retail Trader Edge

    In this episode of *Odds on Open*, hedge fund risk manager and derivatives trader Erik Smolinski deconstructs the structural mechanics of alpha generation, portfolio construction, and risk mitigation in liquid markets. Boasting a near-100% return last year and a flawless annual track record since 2008, Erik details how he transitions from profiling persistent market effects to engineering scalable profit mechanisms. The discussion explores the practical realities of the variance risk premium (VRP), sector rotation dynamics, and advanced derivatives structures—such as ratio call diagonals—designed to capture convex upside across shifting volatility regimes while minimizing exposure to tail risk and adverse market microstructure.Tailored specifically for hedge fund analysts, portfolio managers, quants, allocators, and MFE students, this episode isolates the institutional edge of book agility and systematic process execution over retail bias. Erik breaks down the microstructural nuances of navigating illiquid options chains, the mathematical frameworks behind quantitative momentum, and the strict process constraints required to prevent spectacular portfolio blowups during unexpected regime shifts. Listeners will gain a deep understanding of how to desensitize P&L tracking, align execution models with individual psychological risk profiles, and accurately price implied volatility to build a sustainable, credibility-forward trading framework.00:00 Intro00:01:26 How thematic volatility and objective execution drove triple-digit returns00:04:38 Profiling market effects to construct actionable profit mechanisms00:07:19 Sponsor break00:10:29 Identifying sector leaders and structuring ratio call diagonals00:16:42 The path from military discipline to options trading00:28:05 Formulating systematic trading plans and pricing implied volatility00:39:59 Aligning options strategy with individual psychological risk profiles00:42:57 Structural agility and liquidity capture in retail books00:55:42 Developing discretionary intuition through structured market observation01:01:12 The mechanics of spectacular portfolio blowups and scaling risks01:03:00 The macroeconomic foundations of edge and risk premia persistence

  5. Jul 9

    Ex-Citadel PM: All Hedge Fund Failures Are Because of One Reason - Rich Falk Wallace

    In this episode of Odds on Open, we dissect the mechanics of institutional alpha generation with Rich Falk-Wallace, founder of Arcana and former portfolio manager at Citadel. Rich explains why the vast majority of hedge fund failures stem from flawed portfolio construction and mismanaged risk leakage rather than a lack of fundamental insights. We dive deep into how elite multi-strat platforms mathematically isolate idiosyncratic alpha by systematically neutralizing ex-ante correlation and factor exposures across trading books. For PMs, quants, and allocators looking to understand market structure, this conversation provides a rigorous framework for evaluating the cost of volatility, managing crowding, and building attribute-perfect benchmarks that keep investment teams intellectually honest.The discussion also charts the structural shifts redefining the front office, tracing how sophisticated risk architecture is migrating from the back office directly into the hands of fundamental stock pickers and concentrated long-only asset managers. Rich offers an insider’s perspective on the secular evolution of buy-side talent, explaining how artificial intelligence and mock portfolio trackers are accelerating the career progression of junior analysts into active risk-takers. Finally, we analyze the current macro regime of capital allocation, detailing the ongoing fragmentation of hedge fund capital via separately managed accounts (SMAs) and why the future of active management belongs to firms that treat factor constraints with the same diligence as single-stock theses.00:00 Intro01:10 Defining the fundamental role of a hedge fund portfolio manager02:52 How top portfolio managers isolate alpha and avoid risk leakage09:57 A message from ONYX10:25 Risk management frameworks at elite multi-manager platforms18:17 The mechanics of neutralizing factor risk in multi-strat books27:33 Why institutional allocators are adopting advanced factor modeling tools38:57 How veteran investors adapt to modern systematic risk architecture44:48 Integrating factor constraints into fundamental portfolio construction processes55:29 Decomposing idiosyncratic returns in concentrated long-only portfolios01:05:34 The secular evolution and future of buy-side junior analyst roles01:15:52 Contrarian theses on multi-manager asset aggregation and market fragmentation01:19:42 Operational pitfalls and capital allocation mistakes in scaling funds

  6. Jul 2

    Ex-Two Sigma Quant: You Should Bet Against Bullish Analysts

    Apply to Onyx’s trading event here: https://www.onyxcapitalgroup.com/uni-studentsIn this episode of Odds on Open, former Two Sigma quant Omer Cedar joins host Ethan to deconstruct how top-tier quantitative hedge funds systematically aggregate discretionary signals to isolate pure alpha. Cedar reveals the inner workings of institutional alpha capture programs, detailing how premier multi-manager pods map the information propagation curve and exploit crowded consensus sentiment to capitalize on structural mispricings. The conversation provides a rigorous, finance-native breakdown of market microstructure, analyzing the statistical deltas between asset pricing and expert variant perceptions during high-surprise macro and corporate catalysts. For portfolio managers, quantitative researchers, and buy-side analysts, this discussion offers a masterclass in data validation, situational weighting, and the mechanics of separating idiosyncratic returns from passive factor premiums.The dialogue transitions into the future of market structure, exploring how the proliferation of generative AI and autonomous digital analysts will reshape liquidity and market efficiency across equities, commodities, and secondary private markets. Cedar delivers a framework-first outlook on the scaling hedge fund ecosystem, explaining how large language models alter competitive advantage by shifting the alpha premium from commoditized data crunching to proprietary context curation. Crucially, he exposes the most persistent behavioral pitfalls observed across sophisticated institutional desks, specifically unpacking how the conservatism bias hampers optimal sizing during initial portfolio construction. Whether you are an asset allocator evaluating systematic strategies or an MFE student analyzing modern trading frameworks, this episode delivers actionable insights into balancing algorithmic risk management with human judgment.00:00 Intro00:01:14 Why systematic quant models require discretionary human judgment00:06:27 A message from Onyx00:07:06 How Two Sigma engineered an institutional alpha capture pipeline00:13:25 Why extreme consensus sentiment creates contrarian trading opportunities00:18:53 Aligning buy-side and sell-side incentives through informational edge00:25:36 How to extract alpha from the information propagation curve00:34:54 Navigating analyst mean reversion and situational weighting00:39:08 How generative AI and digital analysts reshape alpha capture00:48:13 Why a fragmented hedge fund ecosystem ensures market efficiency00:56:17 How modern LLMs accelerate data validation and market entropy01:03:47 Overcoming the conservatism bias in initial portfolio construction

  7. Jun 25

    Ex-Citadel Quant on Trading the Most Asymmetric Market - Neel Somani

    Apply to Onyx’s Junior Tech Graduate Scheme here: https://verichain.io/apply/0aa1debe-ac6c-452f-9421-da6cbf4a3e8cIn this episode of Odds on Open, former Citadel quant researcher Neel Somani breaks down the opaque market structure and alpha generation mechanisms driving institutional power and natural gas trading. Neel explores the foundations of competitive edge within power markets, detailing how transmission line congestion, binding physical grid constraints, and localized supply-demand dynamics create highly asymmetric, high-skew assets. The conversation dives into the operational reality of central research desks within multi-manager commodity platforms, focusing on how quants model weather variance, fuel costs, and thermal generation outages to inform relative-value basis trades. Neel also provides a masterclass on institutional risk management and portfolio construction during extreme tail-risk events, using the 2021 Texas freeze to illustrate how top PMs navigate position sizing and delta-neutral execution when illiquid power grids face catastrophic supply shocks.Shifting from liquid macro markets to the frontier of technology, Neel analyzes the massive infrastructure constraints and power demand scaling driven by AI data centers, outlining the site selection economics and temporary generation plays dictating the space. He evaluates the structural career opportunity cost of entering quantitative finance today relative to the AI paradigm shift, challenging junior talent and MFE students to build defensible technical moats in hardware and GPU kernel optimization. Finally, the discussion delivers a sharp variant view on venture capital valuation models, predicting a severe compressed pricing event for digital assets and software companies as low-switching-cost agentic architectures fundamentally disrupt traditional growth economics, customer retention metrics, and customer acquisition costs (CAC).00:00 Intro00:01:12 Quant researcher execution models within multi-manager hedge funds00:06:17 A message from ONYX00:07:35 How transmission line congestion drives alpha in power markets00:13:24 Capital intensity and managing risk profiles of high-skew assets00:19:19 Why commodity desks prefer domestic power over geopolitical oil risk00:22:55 Portfolio construction and risk mitigation during tail-risk freeze events00:31:36 Capitalizing on the physical infrastructure constraints of AI data centers00:36:25 How agentic architecture redefines software engineering and technical moats00:43:04 Quant career opportunity cost relative to the AI paradigm shift00:56:15 Variant views on venture multiples and agentic customer acquisition economics

  8. Jun 20

    LTCM Co-founder Victor Hagani: “Taking Risk Is Always a Negative.”

    Apply to Onyx’s Junior Tech Graduate Scheme here: https://verichain.io/apply/0aa1debe-ac6c-452f-9421-da6cbf4a3e8cIn this episode of Odds on Open, we sit down with Victor Haghani, co-founder of Long-Term Capital Management (LTCM) and founder of Elm Wealth, to dissect why institutional alpha frequently breaks down during the position sizing phase. While standard market commentary focuses heavily on asset selection, Haghani establishes that optimizing your risk-adjusted return is an independent, non-zero-sum discipline that dictates long-term survival. We explore the structural friction between expected value and compound return, the misapplication of the Kelly criterion by sophisticated Wall Street portfolio managers, and how treating variance as an internal financial fee reshapes quantitative portfolio construction and risk management.The discussion shifts to edge verification through Haghani’s famous "Crystal Ball" experiment, analyzing how elite macro traders and advanced LLMs process information asymmetry against historical market regimes. Designed for hedge fund analysts, quants, allocators, and advanced finance students, this section provides a rigorous framework for isolating compensated systematic risk from uncompensated idiosyncratic risk. We close with an actionable breakdown of how practitioners should mathematically model and discount their own human capital, offering a definitive blueprint for maximizing lifetime smooth capital accumulation without succumbing to high-volatility ruin.00:00 Intro01:27 LTCM: Why sizing matters more than selection03:00 Expected value vs. risk-adjusted value in portfolios05:15 Why sophisticated investors struggle with sizing bets08:20 The zero-sum reality of beating the market09:30 A message from Onyx10:35 Why most firms lack a risk-adjusted return rubric12:55 Risk as an internal "fee" in portfolio construction16:30 The math of sizing concentrated stock positions20:50 The hidden danger of high-volatility wealth22:20 "How to become a billionaire" is the wrong question27:25 Testing the "Crystal Ball" hypothesis with Wall Street Journal data34:55 How LLMs perform at macro trading games40:35 Can individual investors generate alpha sustainably?47:40 Solving for optimal sizing at Elm Wealth50:25 Risk limits for young investors and human capital57:55 How to estimate the value of your human capital1:02:45 Why changing minds on investing is nearly impossible1:07:35 The most critical factor for a stable wealth curve

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About

Conversations with leading thinkers on trading and investing. Hosted by Ethan Kho. Produced by Patrick Kho.

Information

  • Creator
    Ethan Kho
  • Years Active
    2025 - 2026
  • Episodes
    68
  • Rating
    Explicit
  • Copyright
    © Ethan Kho
  • Show Website
    Odds on Open

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