Machine learning research has gained momentum-also in finance. Consequently, initial machine-learning-based statistical arbitrage strategies have emerged in the U.S. equities markets in the academic literature, see e.g., Takeuchi and Lee (2013); Moritz and Zimmermann (2014); Krauss et al....

The present paper considers a class of financial market with transaction costs and constructs a geometric no-arbitrage analysis frame. Then, this paper arrives at the fact that this financial market is of no-arbitrage if and only if the curvature 2-form of a specific connection is zero....

The study explores the impact of sector and individual fund's size on performance. We demonstrate that alpha is related to demand for arbitrage capital as much as to its supply. Sector size affects alpha via price impact channel: larger scale depresses merger arbitrage spreads, thus lowering...

There is an on-going debate regarding the extent to which the increased appraisal litigation in Delaware Chancery courts is beneficial from a public policy perspective. Boone et al. (2019) documents that, compared to deals without appraisal challenges, deals subject to appraisal challenges have...

The perspective of behavioral finance is that anomalies in the cross-section of returns are driven by mispricing that arises from investor irrationality that cannot be easily arbitraged away. In this study, we examine the implications of this for international government bond markets. Using data...

We give an algorithm and source code for a cryptoasset statistical arbitrage alpha based on a mean-reversion effect driven by the leading momentum factor in cryptoasset returns discussed in "https://ssrn.com/abstract=3245641" https://ssrn.com/abstract=3245641. Using empirical data, we identify...

We develop a new framework to characterize the dynamics of triangular (three-point) arbitrage in electronic foreign exchange markets. To examine the properties of arbitrage, we propose a wavelet-based regression approach that is robust to estimation errors, measurement bias and persistence....

Purpose - The purpose of this paper is to investigate whether sentiment and mood, which are distinct theoretical concepts, can also be distinguished empirically. Design/methodology/approach - Using a sample of German small-cap stocks and linear techniques, the effect of sentiment and mood on...