Archegos Capital Management, at its height, had $20 billion in assets. But in the spring of 2021, in part through its use of total return swaps, Archegos sparked a $30 billion dollar sell-off that left many of the world’s largest banks footing the bill. Mitsubishi UFJ Group estimated a loss of...

This paper examines how private equity returns in Asia are related to levels of legal protection and corruption. We utilize a unique data set comprising over 750 returns to private equity transactions across 20 developing and developed countries in Asia. The data indicate that legal protections...

Real estate—housing in particular—is a less profitable investment in the long run than previously thought. We hand-collect property-level financial data for the institutional real estate portfolios of four large Oxbridge colleges over the period 1901–1983. Gross income yields initially...

Recent research has shown that macroeconomic uncertainty is a significant factor that is contemporaneously incorporated into asset returns. Therefore, it should not have a role in predicting future returns. At the same time, separate research has demonstrated that illiquidity is related to...

We review the theory and evidence on venture capital (VC) and other private equity: why professional private equity exists, what private equity managers do with their portfolio companies, what returns they earn, who earns more and why, what determines the design of contracts signed between (i)...

In this paper, we use stock price data between the years 2007 and 2010 to investigate the allocation of assets on the GSE. The Classical Markowitz optimization method shows that, the most profitable portfolio is obtained by investing 90% of wealth in non-financial assets and 10% in financial...

To study the role of talent in finance workers' pay, we exploit a special feature of the French higher education system. Wage returns to talent have been significantly higher and have risen faster since the 1980s in finance than in other sectors. Both wage returns to project size and the...

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...

In this study, an attempt has been made to find out why investors still prefer broker-sold fund over direct-sold fund despite the superior performance of the latter. We find the sensitivity of funds flow in selected direct-sold funds and broker-sold funds in India. We do not find any evidence...

This paper evaluates the impact of a screening process based on Environment, Social, and Governance (ESG) scores for an otherwise passive portfolio of investment-grade corporate bonds. The main result is that this filtering leads to a substantial improvement of the targeted ESG score without...