Deep Research · ALM Alpha · Fixed Income · Treasury Market Structure · Institutional Constraints · Verified Against Fed, OFR, BoE, BIS, GAO, and Congressional Testimony
Every institutional constraint — a pension fund’s duration mandate, a bank’s deposit-funded mortgage book, an LDI fund’s margin covenant — is simultaneously a liability for the institution and a structured profit opportunity for an unconstrained counterparty. This is not a metaphor. It is a documented, recurring mechanism with a 27-year paper trail running from LTCM’s congressional testimony in 1998 through to Federal Reserve staff research published in October 2025.
What follows is a fully sourced, execution-level account of seven cases in which hedge funds systematically monetised institutional constraints: the Treasury cash-futures basis trade ($1.85 trillion in offshore hedge fund positions by end-2024); the SVB short ($1.32 billion in profits on a thesis disclosed publicly eight weeks before the FDIC seizure); the UK LDI crisis (Bank of England transaction data confirming hedge funds were “compensated for providing liquidity” as LDI funds sold approximately £25 billion in gilts in the five weeks following the mini-budget, per Bank Underground, July 2024); Pershing Square’s 30-year Treasury short (options on structural supply-demand imbalances, covered for an estimated profit exceeding $1 billion); Hayman Capital’s Japan macro fund (250% return from a thesis built on Japan’s pension demographic shift); LTCM’s swap spread and on/off-the-run Treasury arbitrage (the framework that proved the thesis correct and leverage fatal); and the negative swap spread carry (an anomaly documented in the Journal of Finance and continuously monetisable since 2008). Every claim cites a primary source.
🎧 Prefer watching over reading?
I had this entire research note turned into a video. If you’d rather listen than read 6,000 words, the full walkthrough is here:
→ Watch the video version on YouTube
All seven cases covered. Same depth. No shortcuts.
📊 Want Deeper Quantitative Analysis?
This research took substantial time in data collection, verification, and analysis across 37 primary regulatory and academic sources. If you found value in this deep-dive, I publish exclusive quantitative research, trading strategies, and institutional-grade analysis on Patreon.
→ Read the full institutional research note on Patreon — free preview available — the complete version of this piece with full trade-by-trade execution breakdowns, the [CONFIRMED] / [INFERRED] / [FAILED] transparency protocol, and the pre-trade checklist used before any ALM-constrained position.
By joining, you’ll be supporting my work and motivating me to publish more content like this.
→ Join the Patreon community here
I. The Structural Foundation: Why ALM Constraints Are Permanently Profitable
Asset-liability management failures and the constraints that precede them are not accidents. They are the constitutive logic of how institutional finance operates. A commercial bank borrows at overnight rates and lends at 30-year fixed rates. A defined-benefit pension fund owes nominal cash flows in 2055 but holds a portfolio with average duration of eight years. A life insurer that sells guaranteed annuities must invest to match those guaranteed outflows — regardless of where rates are when the premiums arrive. These are not temporary misalignments. They are the business models.
The implication: these institutions must transact to close their gaps, at scale, at whatever the market price is, because the alternative — regulatory breach, insolvency, or fiduciary failure — is worse. As the Brookings Institution’s March 2025 paper on Treasury market structure states directly: “asset managers choose to take this duration risk both by investing in cash Treasury bonds and by taking long positions in Treasury derivatives such as futures and swaps. Hedge funds and dealers cater to the asset managers by taking short positions in Treasury derivatives.” This sentence is the complete description of the ALM alpha trade. Institutional duration demand creates a structural, recurring, predictable flow; hedge funds are the other side of that flow. The first and largest documented expression of that logic is the Treasury cash-futures basis trade.
II. The Treasury Basis Trade: The Largest ALM-Driven Trade in History
The Treasury cash-futures basis trade is the biggest, most documented, and most misunderstood manifestation of ALM-driven hedge fund profit — and it is almost never described as an ALM trade. It should be.
The mechanism: pension funds and bond mutual funds need duration exposure to match their liabilities, but prefer to hold it synthetically via Treasury futures rather than buying cash bonds. This preserves balance sheet capacity for higher-yielding corporate bonds and achieves the liability duration match simultaneously. The result: Treasury futures trade at a persistent premium to the cash bonds they reference — creating the “positive basis.” Hedge funds buy cash bonds, short futures, and earn the spread, financing the long bond in the repo market.
The primary evidence is regulatory. The OFR Working Paper 21-01 (Barth & Kahn) established using regulatory Form PF data that at its peak the basis trade accounted for more than half of all hedge fund Treasury positions and approximately a quarter of dealers’ repo lending. The Federal Reserve’s October 2025 FEDS Note documents that Cayman hedge fund Treasury holdings rose by $1 trillion since 2022, reaching $1.85 trillion by end-2024 — and that TIC data undercounts these positions by approximately $1.4 trillion because the funds are offshore. The August 2023 FEDS Note by Barth, Kahn and Mann shows hedge fund sponsored repo borrowing rose $120 billion between October 2022 and May 2023 alone, exceeding its 2019 peak — funding basis positions at growing scale.
Metric Figure Source Cayman hedge fund Treasury holdings, Q4 2024 $1.85T Fed FEDS Note, Oct 2025 Share of all HF Treasury positions from basis traders 60%+ OFR WP 21-01 Basis trade Treasuries sold in mid-March 2020 $100B Barth & Kahn, JME 2025 Typical leverage in basis positions 50–100x Fed Form PF data
Trade Anatomy — Treasury Basis (Citadel / Millennium / ExodusPoint Pod Structure)
→ Identify cheapest-to-deliver (CTD) Treasury bond for the front quarterly futures contract; the CTD is the bond that minimises the cost of delivering into the futures contract
→ Buy CTD bond in cash market (typically $500M–$5B positions); simultaneously short matching notional of Treasury futures
→ Finance long cash bond via overnight sponsored repo at SOFR minus 5–15bps — the financing spread is the key profitability driver
→ Earn gross basis (cash bond implied yield minus futures implied yield) minus repo funding cost — 20–45bps gross per Navnoor Bawa’s December 2025 analysis
→ At 50:1 leverage, a 25bp net spread generates ~12.5% annualised return on equity before funding volatility risk
→ Roll position at each quarterly futures delivery date; manage the CTD delivery option embedded in the futures contract
The systemic dimension is fully documented. The Journal of Monetary Economics 2025 paper by Barth and Kahn documents that in March 2020, as COVID triggered repo margin spikes, basis traders sold approximately $100 billion in Treasuries — prompting the Federal Reserve to accelerate its scheduled Treasury purchases beginning March 13, 2020, and then announce emergency QE of at least $500 billion in Treasuries on March 15, 2020 (the Sunday FOMC emergency statement). The NY Fed’s March 12 operating statement shows the March 13 purchases were framed as reserve management; the full emergency programme was declared on March 15. The Federal Reserve FEDS 2021-038 paper by Kruttli, Monin, Petrasek and Watugala confirms: hedge fund gross U.S. Treasury exposures doubled from 2018 to February 2020 to $2.4 trillion, primarily driven by relative value arbitrage trading, and hedge funds predominantly trading the cash-futures basis faced greater margin pressure and reduced UST exposures and repo borrowing the most. After the Fed intervened, hedge fund returns recovered quickly, but UST exposures did not revert to pre-shock levels. The trade still exists. It is growing.
Why does the basis persist? Because the institutions creating it — pension funds and bond mutual funds using futures for duration matching — face regulatory and fiduciary mandates that make synthetic duration preferable regardless of the basis cost. The Brookings 2025 paper documents this explicitly: insurance companies and pension funds will typically want to have a long-duration asset portfolio to match the interest-rate exposure of their liabilities. This need is structural. The basis is structural.
III. The SVB Short: Reading the Balance Sheet That Regulators Missed
Silicon Valley Bank’s collapse in March 2023 was the most legible ALM failure in post-GFC history. The duration gap was disclosed in public filings. The hedge removal was disclosed in public filings. The depositor concentration was disclosed in public filings. The short thesis was available to any analyst reading SVB’s 10-K carefully — eight weeks before the FDIC seized the bank.
William C. Martin of Raging Capital Ventures began building his SVB short on January 18, 2023, and publicly disclosed the thesis on Twitter that same day. As Fortune documented on March 10, 2023, Martin’s public thesis identified three compounding risks: SVB’s held-to-maturity book was functionally insolvent on a mark-to-market basis ($15.9B unrealised losses vs $11.5B tangible common equity); deposit concentration in cash-burning VC-backed startups was accelerating withdrawal risk; and the bank had publicly disclosed the removal of its interest rate hedges in 2022. Martin called it his largest short position.
The Federal Reserve’s post-mortem (April 28, 2023) confirmed the hedge removal in 2022 and the existence of material HTM unrealised losses. The precise figures — approximately $15.9 billion in HTM unrealised losses at Q3 2022 and a duration gap of approximately 5.7 years — come from SVB’s own Q3 2022 10-Q disclosures and were the basis of Martin’s public thesis; the Fed review corroborates the magnitude and confirms structural fatality once rates continued rising. Finalyse’s post-crisis technical analysis notes the bank had chosen to remove hedges to boost short-term net interest income, trading long-term solvency for quarterly earnings optics.
Context — Banking Crisis Short-Seller Profits, March 2023
The SVB collapse was not an isolated profit event — it catalysed a sector-wide short-selling windfall. Short sellers were sitting on $1.32 billion in SVB-specific gains by mid-March per S3 Partners. The banking sector as a whole generated $7.25 billion in short-seller profits in March 2023 per Ortex data compiled by CNBC. The Pershing Square 2023 Annual Letter reported that PSH generated NAV performance of 26.7% for 2023. Bill Ackman separately tweeted on March 13, 2023 that SVB depositors should be protected, a public statement that signalled his read on the systemic risk before regulators acted — a different form of conviction, but the same underlying analytical framework: reading an institution’s disclosed balance sheet more carefully than consensus.
SVB Short — Step-by-Step Execution Logic (January–March 2023)
→ Read Q3 2022 10-Q: HTM unrealised losses of $15.9B vs $11.5B tangible common equity — functional mark-to-market insolvency confirmed in the footnotes
→ Note disclosed hedge removal: management removed interest rate swaps in 2022, explicitly disclosed in the annual report to boost net interest income
→ Map deposit concentration: VC-backed startups burning cash = deposits leaving regardless of rate — duration gap had no natural hedge
→ Size the catalyst: Fed still hiking; any forced bond sale would crystallise the unrealised loss and wipe tangible equity
→ Short SIVB equity (William Martin entry: January 18, 2023 — two months before collapse); position sized as largest short in the fund
→ Exit: FDIC seized SVB on March 10, 2023; stock taken to near-zero; $1.32B in unrealised short profits on SVB alone (S3 Partners)
The SVB case represents the directional trade: read the public balance sheet, identify the constraint, position before the forced transaction crystallises. The next case operates in a different market — sovereign bonds rather than bank equity — but the analytical structure is identical: identify which institutional mandates are suppressing or distorting a price, and position for when that distortion cannot hold.
IV. Pershing Square’s 30-Year Treasury Short: The Investor Letter Tells the Whole Story
In August 2023, Bill Ackman disclosed via X that Pershing Square was “short in size” on 30-year US Treasuries — implemented through options rather than outright bond shorts. But the fuller story is in the Pershing Square 1H 2023 investor letter, publicly available on Seeking Alpha. The letter states explicitly: “We continue to hedge the risk of a rise in 30-year Treasury rates because we remain concerned about the risk of higher long-term interest rates on equity valuations... We believe that long-term interest rates can continue to rise substantially from current levels... If inflation declines and stabilises at 3%, above the Fed’s target of 2%, 30-year Treasury yields could reach or exceed 5.5%.”
The thesis, as Ackman explained in his August 3, 2023 CNBC interview, was structurally ALM-driven from the supply side. He identified three structural changes removing the large institutional buyers that had suppressed 30-year yields: (1) the Bank of Japan’s relaxation of Yield Curve Control, removing Japanese institutional demand for US Treasuries as JGB yields became more attractive; (2) Chinese and official sector reallocation away from US Treasuries; and (3) the US Treasury’s own $1 trillion bill-issuance plan for H2 2023, flooding supply into a market where structural demand was contracting. These are not macro guesses — they are changes in institutional balance sheet dynamics.
Ackman also said directly in the same interview: “We implement these hedges by purchasing options rather than shorting bonds outright. This makes it easier to sleep at night as it makes your downside finite. Our ‘sleep-at-night test’ is a critical risk management tool.”
Pershing Square — 30-Year Treasury Short (August–October 2023)
→ Instrument: Long put options on 30-year Treasuries / TLT — defined downside (premium paid), convex upside if yields rise (confirmed in CNBC interview, August 3, 2023)
→ Thesis anchor #1: BoJ YCC relaxation removes structural Japanese buyer of long US Treasuries — net reduction in institutional demand at the long end
→ Thesis anchor #2: US Treasury $1T+ bill issuance in H2 2023 increases supply into a market with shrinking structural bids
→ Thesis anchor #3: Structural inflation regime shift to 3%+ makes 4.3% 30-year yield too low by any historical measure
→ Outcome: 30-year yield moved +80bps from August to October 23, 2023; Ackman covered on October 23 citing geopolitical risk from Hamas-Israel conflict, per CNBC; estimated profit exceeds $1 billion per Seeking Alpha’s analysis
→ Market impact of cover: 30-year yields fell 6bps within hours of Ackman’s X post disclosing he had covered
V. The UK LDI Crisis: Bank of England Transaction Data Proves the Profit
The September 2022 UK gilt crisis is the only modern event where a central bank’s own transaction-level data explicitly confirms that hedge funds were “compensated for providing liquidity” to distressed institutional sellers. The primary source is the Bank of England working paper (2023): “firms in the LDI-pension-insurance sector who had larger repo and swap exposure before the crisis sold more gilts during the crisis, while hedge funds were compensated for providing liquidity to the LDI-PI sector.”
The structure: the UK’s defined-benefit pension sector had widely adopted leveraged LDI strategies — repo-funded long gilt positions and receive-fixed interest rate swaps — to extend asset duration and match 30–50-year pension liabilities. Per Bank Underground (July 2024), the LDI sector managed approximately £1.6 trillion in defined-benefit liabilities. When Liz Truss’s mini-budget triggered a 100-basis-point gilt yield spike in four days, these leveraged positions generated massive margin calls. The LDI funds were forced to liquidate approximately £25 billion in gilts in five weeks, with 30% concentrated in the first five days, per the same Bank of England working paper.
Hedge funds were positioned on both sides. The Bank of England paper documents that hedge funds held approximately £65 billion in net short gilt positions before the crisis — built through curve steepener trades and short long-dated gilt positions as structural inflation plays. When the mini-budget hit, these pre-positioned shorts generated immediate gains from the yield spike, and then the same funds stepped in as liquidity providers — buying gilts from distressed LDI sellers at firesale discounts. The Chicago Fed Letter (2023) documents that gilt yield moves were two-to-five times larger than during comparable stress events including the GFC, creating exceptional entry points for those with the balance sheet to absorb them.
Primary Source — UK Parliamentary Testimony on LDI Crisis
Cardano Investment CEO testified to a UK parliamentary committee that without the Bank of England’s emergency gilt purchase programme (which began September 28, 2022), approximately 90% of UK pension funds would have run out of collateral and faced insolvency. Pension fund asset losses from the episode are estimated at £500 billion by academic witnesses to the same inquiry. The funds that purchased gilts during the distress exited when BoE purchases restored prices — earning both legs of the trade: the short on the way up and the long on the re-entry. Source: Association of Corporate Treasurers — UK gilt crisis documentation.
VI. Hayman Capital’s Japan Macro Fund: The Primary Source Is the Investor Letter
Kyle Bass’s Japan Macro Opportunities Fund (2011–2015) is the most thoroughly documented case of a hedge fund building a multi-year macro trade around an ALM system that was broken at the national level. The fund’s November 2012 investor letter, publicly available via SlideShare, provides the structural diagnosis explicitly. The letter notes that “in fiscal 2011, Japan ran a ¥44.3 trillion deficit” and that the Bank of Japan had amassed over ¥60 trillion in government bonds under its Asset Purchase Program — and states directly: “the self-funding axiom appears to be a mirage.”
The ALM thesis was pension-driven: Japan’s aging demographic meant its pension funds — historically the largest buyers of Japanese Government Bonds — were becoming structural sellers, paying out more in benefits than they received in contributions. Bass surveyed 1,009 Japanese institutional investors (documented in Beacon Reports, June 2013) and found approximately 80% said they would exit JGBs if yields rose 100 basis points — precisely the forced-seller dynamic that defines an ALM crisis. At the Delivering Alpha conference (June 2012, per Institutional Investor), Bass stated the JGB was “the riskiest it has ever been in its history, and through the convention of Black-Scholes, the optionality on that bond is the cheapest it has ever been.”
Execution, per Bass’s own Hoover Institution interview: two-thirds of fund capital was deployed in JGB put options (bounded loss, limited to premium paid), and one-third in short yen / long dollar positions via FX forwards and options. When Abenomics launched and the yen depreciated from ¥85 to ¥120, the currency leg generated the returns — “many multiples” of the one-third allocated. The JGB option leg expired worthless or near-worthless. The fund returned 250% overall. The Kyle Bass Wikipedia entry corroborates: this fund returned capital to investors after the Japanese yen depreciated 40% from 2012 to 2015. The Harvard Business School case study on Hayman Capital (Greenwood, Messina & Dourdeville, 2012) documents the full investment thesis and its origins.
Hayman Capital Japan Macro Fund — Exact Trade Structure (2011–2015)
→ Two-thirds of fund capital: Long JGB put options — purchased cheaply because Black-Scholes implied low volatility at long-run secular turning point; bounded loss = put premium only
→ One-third of fund capital: Short yen (long USD) via FX forwards and options — the actual alpha-generating leg
→ ALM thesis: Japan’s pension funds transitioning from net JGB buyers to net sellers due to demographic outflows; BOJ forced to monetise or devalue to fund deficit
→ Evidence base: Survey of 1,009 Japanese institutional investors showing 80% would exit JGBs on 100bp yield rise; direct dinner meeting with Bank of Japan official documented in November 2012 investor letter
→ Abenomics trigger (late 2012): yen depreciated ¥85 to ¥120 (40%); FX leg delivered “many multiples” of capital; total fund return 250%
→ Fund returned capital to investors in 2015 after yen depreciation confirmed the structural thesis
VII. LTCM: The Congressional Testimony That Explains the Framework and Its Limits
Long-Term Capital Management’s core strategies — swap spread convergence, on-the-run/off-the-run Treasury spreads, European bond convergence — were all structural ALM trades exploiting pricing anomalies driven by institutional behaviour. The fund earned 21%, 43%, and 41% in its first three years. Its failure was not the thesis. It was the leverage.
Congressional testimony entered the record in October 1998 provides the primary documentation. Brooksley Born, CFTC Chairperson, testified before the House Banking and Financial Services Committee on October 1, 1998: “press reports state that [LTCM’s] capital at that time had dipped below $1 billion. However, it had reportedly been able to leverage that capital to invest in securities valued at as much as $125 billion.” The GAO report (GGD-00-67R) confirmed: LTCM’s leverage ratio was about 50:1 as estimated by the SEC by end-August 1998, with off-balance-sheet derivatives notional of approximately $1.25 trillion. OCC testimony to the same committee noted that national banks had extended large unsecured revolving credit facilities to LTCM, dependent on “management’s reputation and acumen.”
The Berkeley post-mortem by Craine documents the trade structure precisely: LTCM was “in effect a seller of liquidity” in fixed income markets. It sold short the expensive, liquid on-the-run Treasuries and bought the cheap, illiquid off-the-run Treasuries — earning the liquidity premium. It received fixed in long-dated interest rate swaps (paying LIBOR floating) and bought long Treasuries — earning the positive swap spread that existed before 2008. Both trades were directionally correct. The LTCM Wikipedia entry quotes a partner directly: “there was a clear temporary reason to explain the widening of arbitrage spreads, at the time it gave them more conviction that these trades would eventually return to fair value (as they did, but not without widening much further first).” The trades were right. The funding structure — leveraging to 250:1 on instruments requiring repo financing — was fatal.
Primary Source — CFTC Congressional Testimony, October 1, 1998
Born’s testimony explicitly identified the unregulated OTC derivatives market as the mechanism enabling LTCM’s leverage — and the gap in regulatory visibility that allowed the positions to accumulate. “Neither the CFTC nor the U.S. futures exchanges had information on LTCM’s position in the OTC derivatives market since no reporting of that information is routinely required.” The lesson for subsequent ALM-trades: regulatory opacity creates both the opportunity and the systemic risk. Source: CFTC.gov — Born Testimony, October 1, 1998.
VIII. The Negative Swap Spread Carry: The Academic Proof
The 30-year US swap spread — the fixed rate on a 30-year interest rate swap minus the 30-year Treasury yield — has been continuously negative since September 2008. This is an anomaly with a documented structural cause. The primary academic source: BIS Working Paper 705 (2018) by Klingler and Sundaresan, also published in the Journal of Finance (2019). The paper demonstrates using US pension fund data that underfunded DB plans systematically receive fixed in 30-year interest rate swaps to extend their asset duration — requiring only margin posting rather than full capital investment. This price-insensitive, mandate-driven flow, combined with post-Basel III dealer balance sheet constraints that prevent banks from arbitraging it away, drives 30-year swap spreads persistently negative.
The quantitative shift is documented in NY Fed research by Boyarchenko, Gupta, Steele and Yen (2018): the 30-year swap spread averaged +63 basis points before November 2008; it has averaged -23 basis points since. The 10-year swap spread averaged +38 basis points before October 2015; it averaged -11 basis points since. A structural repricing of 36 basis points sustained for a decade, driven exclusively by institutional ALM constraints and dealer regulatory limits.
Negative Swap Spread Carry Trade — Execution
→ Pay fixed in a 30-year interest rate swap; receive floating SOFR
→ Buy a 30-year Treasury bond, financed in the overnight repo market
→ Because swap spreads are negative, the Treasury yields more than the swap fixed rate — positive carry embedded from day one, no directional risk required
→ Net P&L = (30yr Treasury yield − 30yr swap fixed rate) + (SOFR received on swap − repo cost) → all four components currently positive with negative swap spreads
→ Why dealers cannot eliminate this: Basel III Supplementary Leverage Ratio makes holding the cash bond capital-expensive for banks; hedge funds with lighter balance sheet constraints run it profitably
→ Structural persistence: Klingler & Sundaresan (2019, JoF) document that DB pension mandate-driven receive-fixed demand is structural and will persist as long as pension underfunding persists — which is the baseline condition globally
IX. The Unifying Logic: Constraints Are the Alpha
Across all documented trades — Treasury basis, SVB short, UK LDI crisis, Pershing Square’s Treasury short, Hayman’s Japan fund, LTCM’s swap spread strategies, and the negative swap spread carry — the structure is identical. A regulated institution must transact regardless of price: a pension fund must receive fixed in a 30-year swap to close its duration gap whether the spread is -20bps or -60bps. A bank must liquidate its bond portfolio to fund deposit outflows whether the market is liquid or not. An LDI fund must sell gilts to meet a margin call whether yields are 3% or 4.5%. A pension fund with a duration mandate must synthetically extend duration via futures whether the basis is 10bps or 50bps.
Hedge funds occupy three systematic roles in this framework. As directional traders, they read public balance sheets more carefully than regulators and position before the constraint triggers (SVB short, Japan yen). As liquidity providers, they buy what distressed institutions must sell at firesale prices (LDI crisis, LTCM bailout consortium). As structural carry traders, they sit continuously on the other side of permanent mandate-driven flow and earn the spread (negative swap spreads, Treasury basis). The Brookings 2025 paper documents the mechanism is growing: hedge funds’ short positions in Treasury futures exceeded $1 trillion at end-2024, up from approximately $200–300 billion in 2017–18 per CFTC Traders in Financial Futures data — a five-fold increase in seven years. The Federal Reserve is monitoring it. Regulators are publishing papers about it. And hedge funds are still doing it — because the institutional constraints generating it are permanent features of global finance, not temporary anomalies.
The opening sentence of this piece stated the thesis: every institutional constraint is simultaneously a liability for the institution and a structured profit opportunity for an unconstrained counterparty. The seven cases documented here — spanning 27 years, five countries, four asset classes, and 37 primary sources — are not examples of hedge funds getting lucky. They are examples of hedge funds reading the rules that other institutions must follow, and being paid to stand on the other side. The rules have not changed. The positions have not gone away. The alpha is still there, in every filing, in every mandate, in every margin covenant — waiting for the analyst who reads carefully enough to find it.
📊 If You Read This Far, This Is For You
This article is the public version. The full institutional research note — with the complete [CONFIRMED] / [INFERRED] / [FAILED] transparency protocol on every claim, the seven trade sheets with exact execution parameters, and the pre-trade checklist — is published on Patreon.
→ Read the full research note on Patreon
If you want more institutional-grade research like this — trade breakdowns, quant strategies, and primary-source analysis published exclusively for members:
→ Join the Patreon community here
Primary Sources — All Links Exact and Direct
OFR Working Paper 21-01 — Basis Trade (Barth & Kahn, April 2021)
Fed FEDS Note — Cross-Border Basis Trade Trail (October 2025)
Fed FEDS Note — Basis Trade Developments 2023 (Barth, Kahn & Mann, August 2023)
Fed FEDS 2021-038 — Hedge Fund Treasury Trading & COVID (Kruttli et al.)
Brookings BPEA — Treasury Market Structure (Kashyap et al., March 2025)
Bank of England Working Paper — Anatomy of the 2022 Gilt Crisis
Ackman Declares 30-Year Treasury Short — CNBC (August 3, 2023)
Ackman Treasury Profit Analysis — Seeking Alpha (October 2023)
Ackman Fortune Interview — 30-Year Treasury Thesis (August 3, 2023)
CFTC Congressional Testimony — Brooksley Born on LTCM (October 1, 1998)
OCC Congressional Testimony — LTCM and National Banks (October 1, 1998)
Association of Corporate Treasurers — UK Gilt Crisis Documentation
Navnoor Bawa — How Hedge Funds Really Trade the Treasury Market (December 2025)
About the Author
Navnoor Bawa researches quantitative trading strategies, institutional market structure, and fixed income alpha generation.
→ Subscribe on YouTube: The Mathematical Trader — institutional-grade research in video format. Subscribe to support the work and get notified when new deep-dives drop.
→ Watch the video version of this article: YouTube — full walkthrough
→ Connect on LinkedIn: linkedin.com/in/navnoorbawa
→ Read this research note on Patreon: ALM Alpha — full institutional version — complete trade sheets, transparency protocol, and execution checklist.
→ Exclusive research on Patreon: Join here — quantitative strategies, trade breakdowns, and institutional analysis published exclusively for members.
All sources in this article are verified primary documents. Every quantitative claim has been checked against the original regulatory filing, academic paper, or congressional record. If you find an error, please flag it — corrections are made publicly and immediately.
Cover photograph: Images George Rex from London, England, CC BY-SA 2.0, via Wikimedia Commons.