We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

We investigate the use of machine learning (ML) and other robust-estimation techniques in event studies conducted on single securities for the purpose of securities litigation. Single-firm event studies are widely used in civil litigation, with billions of dollars in settlements hinging on the...

We examine how sell-side equity analysts strategically disclose information of differing quality to the public versus the buy-side mutual fund managers to whom they are connected. We consider cases in which analysts recommend that the public buys a stock, but some fund managers sell it. We...

Funds of Hedge Funds (FHF) are perceived to be the premier choice of institutional investors for first-time allocations into the alternative investment asset class. While many papers cover the bright side of FHF investing, we in this paper empirically investigate the maximum drawdowns of FHF....

Most research on the performance and risk of hedge funds are based on calculations that just use the data from one index provider. Also most product providers and even more and more investors are using hedge fund indices for benchmarking purposes. As some academic articles pointed out, the world...

The paper examines the key drivers of gold investment. Since 2000 the gold price has risen drastically, making gold an interesting add-on to a portfolio. As gold futures have negative roll returns, gold pool accounts are characterized by high credit risk and physical possession of gold means...

Loss Given Default (LGD) is a major element for pricing credits and bonds. As there has been a substantial amount of research during the last years, this paper aims to give an overview. Initially, defaults and recovery definitions for credits and the differences to bonds are discussed. A survey...

This paper introduces the probabilistic formulation of continuous-time economic models: forward stochastic differential equations (SDE) govern the dynamics of backward-looking variables, and backward SDEs capture that of forward-looking variables. Deep learning streamlines the search for the...

This paper presents an online-experiment on overconfidence in the context of financial markets. Our subject pool consists of institutional investors, investment advisors and individual investors, all of them being registered users of a large online platform for market sentiment data. Due to...