Exchange-traded funds (ETFs) are typically considered to be passive investment vehicles designed to track a benchmark index. However, with the promulgation of the Securities and Exchange Commission's 2019 ETF Rule, funds are permitted the use of custom creation/redemption baskets. This change...

In this paper, we introduce the concept of statistical arbitrage through the definition of a mean-reverting trading strategy that captures persistent anomalies in long-run relationships among assets. We model the statistical arbitrage proceeding in three steps: (1) to identify mispricings in the...

This study aims to examine the influence of economic and non-economic macro factors on the performance of the Indonesia Stock Exchange (IDX) and the differences in their effects on the last two presidential terms using the Arbitrage Pricing Theory (APT) approach. The macro factors studied are an...

We consider superhedging and no-arbitrage pricing in markets with a convex and cash-additive structure and derive an explicit functional form for the super-replication price. Using convex duality methods, we show that the superhedging price maximizes the difference between the expected payoff...

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,...

Capital Asset Pricing Model (CAPM) and Arbitrage Pricing Theory are two basic models for understanding the relationship between stock return and risk in assessing shares traded in the capital market. This study aims to understand whether CAPM or APT is better and more accurate in predicting the...

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 paper shows how to uniquely price non-traded assets using no-arbitrage in an otherwise friction-less market setting. The approach requires the assumption that the hedging error, properly defined, is non-priced or idiosyncratic risk. This methodology can be applied to private loans, illiquid...

The paper outlines Monte-Carlo simulation procedures for the pricing of swaptions under the discrete-time arbitrage-free Nelson-Siegel (DTAFNS) model of Eghbalzadeh et al. (2022). In particular, the forward measure dynamics of term structure factors are derived, leading to a semi-analytic...

Automated market makers (AMMs) are a new type of trading venue where the rules for liquidity provision and liquidity taking are considerably different from those of the traditional electronic trading venues. AMMs have become one of the key markets to trade crypto-currencies, whose liquidity is...

We argue that owing to traders' inability to fully express their preferences over the execution times of their orders, contemporary stock market designs are prone to latency arbitrage. In turn, we propose a new order type, which allows traders to specify the time at which their orders are...

Equipped with a latent factor model that accommodates evident structural changes and time-varying dependence of mispricing on firm characteristics, we reveal economically substantial mispricing in the Chinese stock market. For the reasonable number of latent factors equal to 4, the arbitrage...

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 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....

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....

This paper specifies a simulated convertible bond arbitrage portfolio to characterise the risks in convertible bond arbitrage. For comparison the risk profile of convertible bond arbitrage hedge fund indices at both monthly and daily frequencies is also examined. Results indicate that...

In this paper, we consider an optimal stopping problem that addresses model uncertainty. Model uncertainty is the uncertainty affecting the model assumptions, e.g., the assumed form of the probability distribution, the parameters embedded in the probability distribution. The result presented in...

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...

Automated Market Makers (AMMs) are a relatively new mechanism that allow people to trade cryptocurrencies instantly. Unlike typical centralized trades that utilize order-books, AMMs are decentralized, so they do not require the matching of buyers and sellers for exchanges; rather, they use a...

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...

We analyse the exchange-rate exposure (exposure) and systematic risk (beta) of individual stocks and pair arbitrage portfolios (PAP) in a Bertrand-type international duopoly. Under currency appreciation the firm beta from the depreciating (appreciating) country, decreases (increases). As the...

In this paper, we introduce a 3D finite dimensional Gaussian process (GP) regression approach for learning arbitrage-free swaption cubes. Based on the possibly noisy observations of swaption prices, the proposed 'constrained' GP regression approach is proven to be arbitrage-free along the strike...

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...