This study suggests a novel approach for decomposing an options order imbalance based on trading motives using put-call parity. The options order imbalance is separated into two components: one that contains arbitrage trading and one that does not. Intuitively, the proportion of the former...

We use arbitrage activity in equity, fixed income, and foreign exchange markets to characterize the frictions and constraints facing intermediaries. The average pairwise correlation between the twenty-nine arbitrage spreads that we study is 22%. These low correlations are inconsistent with...

We present a computationally tractable method for simulating arbitrage free implied volatility surfaces. We illustrate how our method may be combined with a factor model for the implied volatility surface to generate dynamic scenarios for arbitrage-free implied volatility surfaces. Our approach...

The Flash Loan Arbitrage bot project entails creating a bot that can use flash loans to perform lucrative arbitrage trades across many decentralised exchanges. To ease arbitrage transactions, the project uses Solidity code to develop a smart contract that interacts with several ERC20 tokens and...

I explore the premise that the abundance of arbitrage capital varies over time and that future asset prices, proxied by a set of cross-sectional stock anomalies, depend on arbitrage capital availability. When arbitrage capital is abundant, investors are able to deploy capital flow successfully,...

Arbitrage trading strategies are a class of trading strategies that involve buying and selling financial instruments to take advantage of price discrepancies. The goal of arbitrage trading is to make a profit from the differences in prices between securities or markets, without taking on...

This study uncovers a unique dividend-tax arbitrage strategy that provides high-bracket investors the opportunity to circumvent taxation on dividend income. As the first comprehensive analysis, we examine diverse investor types, implementation techniques, and implications on stock prices....

We propose a new approach to modeling informed order flows. Our approach generalizes arbitrage pricing to incorporate both information and demand effects, giving rise to a new quadratic factor model of price impacts. Our approach offers two fresh insights into the economics of informed trading....

Algorithmic trading, so popular nowadays, uses many strategies that are algorithmizable and promise profitability. This research answers the question whether it is possible to successfully use a convexity arbitrage strategy in a bond portfolio in financial practice. It should provide a positive...

We measure the gains from phasing out coal as the social cost of carbon times the quantity of avoided emissions. By comparing the present value of the benefits from avoided emissions against the present value of costs of ending coal plus the costs of replacing it with renewable energy, our...

The currency options markets, both the dollar denominated options markets and the cross-currency options markets, carry important economic information about the evolution of exchange rates and the pricing of risk. However, it is challenging to integrate all this information together. This paper...

We propose an efficient way to interpolate implied volatilities in between market expirations while keeping local volatilities virtually constant in time for any strike relative to forward. The method never creates an arbitrage. If the input volatilities are not arbitrage-free, the method...

How can we assess whether macro-prudential regulations are having their intended effects? If these regulations are optimal, their marginal benefit of addressing externalities should equal their marginal cost of distorting risk-sharing. These risk-sharing distortions will manifest as trading...

Recent research has documented and studied a persistent widening of cross-currency basis (i.e., deviation from covered interest rate parity) for a wide range of currencies with respect to the dollar since the global financial crisis. Theory of the foreign exchange (FX) swap market predicts that...

Any lead-lag effect in an asset pair implies the future returns on the lagging asset have the potential to be predicted from past and present prices of the leader, thus creating statistical arbitrage opportunities. We utilize robust lead-lag indicators to uncover the origin of price discovery...

Focusing on capital asset returns governed by a factor structure, the Arbitrage Pricing Theory (APT) is a one-period model, in which preclusion of arbitrage over static portfolios of these assets leads to a linear relation between the expected return and its covariance with the factors. The APT,...

Trading algorithms are an integral component of modern asset markets. In two experimental markets for long-lived correlated assets we examine the impact of alternative types of arbitrage-seeking algorithms. These arbitrage robot traders vary in their latency and whether they make or take market...

The prices of exchange-traded funds (ETFs) can deviate significantly from their net asset values (NAVs). Exploiting such inefficiencies is often too costly because it involves taking positions in hundreds of underlying illiquid securities. We develop a method that identifies a liquid mimicking...

‘’Blockchain’’ is often described as a technology that allows the prevention of conflicts. The code is thus presumed to accurately execute the will of the parties. However, blockchain technology supports economic and social interactions between humans and, as in any social environment,...

I generalize the textbook arbitrage-pricing framework to characterize how uninformative flows generate price impacts. The modeled channel is that price impacts arise as marginal investors' risk compensation. I build a new model of price impacts that allows for common factors of flows and common...

The article describes a global and arbitrage-free parametrization of the eSSVI surfaces introduced by Hendriks and Martini in 2019. A robust calibration of such surfaces has already been proposed by the quantitative research team at Zeliade in 2019, but it is sequential in expiries and lacks of...

Theory suggests that traders will be more reluctant to trade on negative private information about an ongoing merger if their trading will cause the merger to be canceled. This paper provides evidence on the existence of such endogenous limits to arbitrage and it's consequence on the...

This paper examines the implications of pricing errors and factors that are not strong for the Fama-MacBeth two-pass estimator of risk premia and its asymptotic distribution when T is fixed with n → ∞, and when both n and T → ∞, jointly. While the literature just distinguishes strong and...

The arbitrage pricing theory (APT) attributes differences in expected returns to exposure to systematic risk factors, which are typically assumed to be strong. In this paper we consider two aspects of the APT. Firstly we relate the factors in the statistical factor model to a theoretically...

Purpose - Nowadays popular algorithmic trading uses many strategies which are algoritmizable and promise profitability. This research assess if it is possible successfully use interest rates sensitivity arbitrage in bond portfolio (also known as convexity arbitrage) in financial praxis. This...

This article discusses various challenges in the specification and implementation of \\"macro-finance\\" models in which macroeconomic variables and term structure variables are modeled together in a no-arbitrage framework. The author classifies macro-finance models into pure latent-factor...

The no Butterfly arbitrage domain of Gatheral SVI 5-parameters formula for the volatility smile has been recently described. It requires in general a numerical minimization of 2 functions altogether with a few root finding procedures. We study here the case of some sub-SVIs (all with 3...

A central conjecture of behavioural finance is that arbitrage opportunities appear as a result of systematic irrational investment behaviour and persist since real-world arbitrage trades actually involve costs and risks due to market frictions and non-fundamental risk. This paper shows that the...

This paper studies the implications of arbitrage in a large asset market under conditions of (Knightian) uncertainty.First, I adapt the notion of arbitrage to a market in which the assets' returns are affected by uncertainty across probability distributions. The setting delivers the analog of...

This study applies the Caginalp & Balenovic (1999) model for asset flow dynamics to fully collateralized stablecoins. The analysis provides novel insights on how trend-reversion and reactions to peg deviations work together to keep stablecoin prices close to the price they are targeting. A...

I show that an important no-arbitrage consistent but costly collateral rental yield contributes to about two-thirds of the standard CIP violations. I measure this yield using two approaches applied to short- and long-term CIP horizons. First, I assume that the yield is observable and proxy it...

A natural liquidity mismatch emerges when liquid exchange traded funds (ETFs) hold relatively illiquid assets. We provide a theory and empirical evidence showing that this liquidity mismatch can reduce market efficiency and increase the fragility of these ETFs. We focus on corporate bond ETFs...

The Svensson generalization of the popular Nelson-Siegel term structure model is widely used by practitioners and central banks. Unfortunately, like the original Nelson-Siegel specification, this generalization, in its dynamic form, does not enforce arbitrage-free consistency over time. Indeed,...

The European Union's push towards market-based procurement of redispatch services has sparked fears of so called Inc-Dec-Gaming, i.e. the incentive to engage in arbitrage between the national wholesale market and the local redispatch market. The latter would increase both likelihood and severity...

Classical wealth management heavily relies on the linear and two-dimensional world of Modern Portfolio Theory. While this has generally worked for investors, many new investment offerings only inadequately map into the CW world. This inadequacy is a source of potentially large investor losses,...

We study the dynamics of cash-and-carry arbitrage using the U.S. crude oil market. Sizable arbitrage-related inventory movements occur at the NYMEX futures contract delivery point but not at other storage locations where, instead, operational factors explain most inventory changes. We add to the...

This study outlines an affine term structure model (ATSM) of TIPS that decomposes yields into real expected rates, real term premiums, and liquidity premiums. The estimation incorporates an observable liquidity factor that more comprehensively captures limits to arbitrage implied by yield curve...