Markowitz's celebrated mean--variance portfolio optimization theory assumes that the means and covariances of the underlying asset returns are known. In practice, they are unknown and have to be estimated from historical data. Plugging the estimates into the efficient frontier that assumes known...

PrefacePart 1: Background and Basic Analytics 1. Risk management and regulation2. Basic concepts and methods in risk management3. Financial derivatives and their pricing theory4. Insurance risk and credibility theoryPart 2: Advanced Data and Risk Analytics 5. Supervised and unsupervised...

"This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk...

Family-owned companies occupy a large proportion of enterprises all over the world. It is meaningful for people to understand how family ownership may affect firms’ financing strategies. This paper tends to summarize the results of previous studies. However, different scholars reach different...

In many credit risk and pricing applications, credit transition matrix is modeled by a constant transition probability or generator matrix for Markov processes. Based on empirical evidence, we model rating transition processes as piecewise homogeneous Markov chains with unobserved structural...

Inspired by the wide adoption of rigorous randomized controlled trials (RCTs) in medical research, economists and other social scientists have increasingly used RCTs in their research. As researchers pick up projects amenable to the RCT methodology, they likely leave out important questions to...