This study experimentally investigates the impact of the lack of arbitrage opportunities across different assets on the realization of the law of one price. Our experiment is based on the framework established by Charness and Neugebauer (2019) where participants, acting as traders, are involved...

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...

We examine the impact of increasing competition among the fastest traders by analyzing a new low-latency microwave network connecting exchanges trading the same stocks. Using a difference-in-differences approach comparing German stocks with similar French stocks, we find improved market...

This study uses a unique dataset of transactions at the account level to construct investor networks. These networks are then analyzed to examine the role of the network centralization index in identifying the stock momentum stages. The empirical results demonstrate that the early stage strategy...

This paper develops a dynamic model of tender offers in which there is trading on the target's shares during the takeover, and bidders can freeze out target shareholders (compulsorily acquire remaining shares not tendered at the bid price), features that prevail on almost all takeovers. We show...

We examine two major topics in the field of cryptocurrencies. On the one hand, we investigate possible long-run equilibrium relationships among ten major cryptocurrencies by applying two different cointegration tests. This analysis aims at constructing cointegrated portfolios that enable...

Can consumption-based mechanisms generate positive and time-varying real term premia as we see in the data? I show that only models with time-varying risk aversion or models with high consumption risk can independently produce these patterns. The latter explanation has not been analysed before...

In this study, we investigate what drives the MAX effect in the South Korean stock market. We find that the MAX effect is significant only for overpriced stocks categorized by the composite mispricing index. Our results suggest that investors' demand for the lottery and the arbitrage risk effect...

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...

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...

For liquidity providers in the rapidly-growing crypto options market as well as potential institutional investors in crypto options, we test the joint efficiency of the bitcoin options and perpetual futures markets, and likewise for ether, and identify the frequency and magnitude of arbitrage...

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...

What role does the selection of an investor and the timing of financing play in initial coin offerings (ICOs)? We investigate the operating and financial performance of ventures conducting ICOs with different types of investors at different points in the ventures’ life cycle. We find that,...

Motivated by the short-lived arbitrage model, we jointly imply volatilities and virtual interest rates of options to develop minimum variance hedge ratios. We use artificial neural networks to capture the dynamics between the underlying asset price and correlated state variables, which improves...

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...

We analyze the run risk of USD-backed stablecoins. Stablecoin issuers aim to keep the stablecoin price at $1 by holding a portfolio of US dollar assets like bank deposits, Treasuries, and corporate bonds while promising to exchange stablecoins for $1 in cash with arbitrageurs. We show that asset...

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...

This paper rationalizes the LASSO algorithm based on uncertain fat-tail priors and max-min robust optimization. Our rationalization excludes heuristic learning or restrictive prior assumptions in the original interpretation of LASSO (Tibshirani (1996)). In our setting, economic agents...