Assistant Professor of Finance · London Business School
Quentin Vandeweyer
My research is in macro-finance, asset pricing and monetary economics. I study how financial innovation and regulation shape the financial system, with a focus on money markets, Treasury markets, central bank balance sheets and digital assets.
Before joining London Business School in 2026, I was Associate Professor of Finance and Fama Faculty Fellow at the University of Chicago Booth School of Business, where I started in 2021, and before that I worked at the European Central Bank. I hold a PhD in Economics from Sciences Po Paris and an MSc in Economics from École Polytechnique. I am affiliated with the NBER and CESifo.
London Business School, Regent's Park, London NW1 4SA
qvandeweyer@london.edu
Research
-
The Central Bank's Balance Sheet and Treasury Market Disruptions
ForthcomingThe Journal of Finance·Internet appendix·ECB Working Paper No. 3066 (with additional results)
Abstract
We study how banking regulation and the central bank balance sheet jointly influence Treasury market fragility. In a dynamic general equilibrium model, leverage-ratio requirements push Treasuries from banks to unregulated hedge funds that arbitrage the cash-futures basis, while intraday reserve regulations constrain banks' repo lending to hedge funds when repo funding is stressed. As a result, the likelihood and severity of disruptions—and, via hedge funds' compensation for liquidity risk, the cash-futures basis—depend on the size of the central bank's balance sheet and the expected duration of shocks.
-
The Implications of CIP Deviations for International Capital Flows
ForthcomingThe Journal of Finance
Abstract
We study how deviations from covered interest rate parity affect international capital flows using novel data that combine euro-area FX derivatives with securities holdings statistics. Non-bank investors hedge nearly half of their USD exposures, primarily with short-term derivatives, creating a significant maturity mismatch with their bond holdings. Consistent with a currency-hedging channel, USD bond holdings decline following a widening of the USD–EUR cross-currency basis, especially for investors with larger hedging rollover needs. These bond-demand shifts significantly affect U.S. and euro-area bond prices. Our findings establish a new determinant of international capital flows with important consequences for financial stability.
-
Can Stablecoins Be Stable?
ForthcomingManagement Science (published online May 2026)·Working paper version
Abstract
This paper provides a general model of stablecoins, cryptocurrencies pegged to a traditional currency. We characterize the optimal design of a stablecoin protocol that generates seigniorage fees from issuance. We use this framework to assess the ability of various protocol designs to maintain the peg. Our model rationalizes algorithmic backing of stablecoins but highlights its greater fragility relative to collateralization. Immutable smart contracts improve stability because the issuer suffers from a commitment problem. Even under full collateralization, promises to repurchase stablecoins when demand drops are not credible. Alternatively, the protocol can restore commitment by decentralizing issuance, and this highlights a new benefit of DeFi protocols.
-
Discount Factors and Monetary Policy: Evidence from Dual-Listed Stocks
PublishedJournal of Financial Economics, 2026, 175: 104190·Working paper version
Abstract
This paper studies the transmission of monetary policy to the stock market through investors' discount factors. To isolate this channel, we investigate the effect of US monetary policy surprises on the ratio of prices of the same stock listed simultaneously in Hong Kong and Mainland China. We identify a strong discount rate channel driven exclusively by cycle-amplifying surprises, defined as rate cuts during easing cycles and surprise hikes during tightening cycles. A 100 basis point of such cycle-amplifying surprise induces a 30 basis point change in the price ratio within five days.
-
Intraday Liquidity and Money Market Dislocations
PublishedManagement Science, 2025, 71(12): 10740–10752·Working paper version
Abstract
This paper proposes a new model of monetary policy implementation to account for two key developments: (i) the introduction of intraday liquidity requirements and (ii) the decreasing relevance of the federal funds market in favor of repurchase agreement (repo) markets with nonbank participants. Our paper studies how liquidity requirements prevent banks from arbitraging between the fed funds and repo markets and generate large repo spikes. We propose a simple measure of excess intraday reserves. Consistent with our theory, this metric is close to zero in 2019Q2, when U.S. repo markets experienced a spike of 400 basis points.
-
Treasury Bill Shortages and the Pricing of Short-Term Assets
PublishedThe Journal of Finance, 2024, 79(6): 4083–4141·Internet appendix
Abstract
We propose a model of post-Great Financial Crisis (GFC) money markets and monetary policy implementation. In our framework, capital regulation may deter banks from intermediating liquidity derived from holding reserves to shadow banks. Consequently, money markets can be segmented, and the scarcity of Treasury bills available to shadow banks is the main driver of short-term spreads. In this regime, open market operations have an inverse effect on net liquidity provision when swapping ample reserves for scarce T-bills or repos. Our model quantitatively accounts for post-2010 time series for repo rates, T-bill yields, and the Fed's reverse repo facility usage.
-
Equilibrium in a DeFi Lending Market
Working paperRevise and resubmit, Management Science
Abstract
We provide an economic model of a Decentralized Lending Protocol (DLP) and analyze its novel pricing mechanism. We show that the mechanism admits a unique equilibrium under general conditions, allowing for risk aversion and incomplete information. Additionally, we demonstrate that when borrowers and lenders are fully informed about the state of the credit market, then the DLP can generate approximately efficient interest rates even if the DLP pricing mechanism cannot condition on the state of the credit market. In contrast, we show that if users face uncertainty about the state of the credit market, then any DLP pricing mechanism must generate interest rates that are inefficient. Given these findings, our results highlight that the key inefficiency of the DLP pricing mechanism arises from uncertainty faced by DLP users.
-
The Fiscal Cost of Quantitative Easing
Working paperJuly 2026
Abstract
Quantitative easing (QE) shortens the duration of the consolidated public balance sheet, swapping long-term government bonds for short, floating-rate liabilities and shifting interest-rate risk onto taxpayers. In segmented bond markets this transfer can support real activity, but the state-contingent losses must be financed with distortionary taxes. We quantify the ex ante fiscal-efficiency cost by mapping forecasted QE-portfolio returns into expected tax deadweight losses. Across U.S. QE programs, the expected cost is 0.35% of GDP—below published output-effect estimates—with a conservative upper bound of 1.35%. Yet the distribution is wide: across programs, 95th-percentile losses sum to 6.65% of GDP.
Teaching
-
Mergers & Acquisitions
-
Private Equity