Corporate loans increasingly have become an important part of portfolio management with the advent of a liquid and transparent secondary market. This paper examines the pricing of characteristics and betas in the cross-section of expected loan returns. Expected loan returns decrease with default...

This note describes in detail the methodology to calculate returns in the secondary corporate loan market. It is provided as a supplementary note to "The cross-section of expected returns in the secondary corporate loan market."

I extend the application of Bandi and Tamoni (2014)'s time series decomposition to other asset classes, such as fixed income, credit and credit derivatives, and other models, such as the Fama and French three factor model. I document a significant increase in R squared from using the...

We consider the problem of maximizing expected utility for a power investor who can allocate his wealth in a stock, a defaultable security, and a money market account. The dynamics of these security prices are governed by geometric Brownian motions modulated by a hidden continuous time finite...

PART 1. INTRODUCTION AND ANALYTICS MODELS -- Retraining and Reskilling Financial Participators in the Digital Age -- Basics of Financial Data Analytics -- Predictive Analytics Techniques: Theory and Applications in Finance -- Prescriptive Analytics Techniques: Theory and Applications in Finance...

Finanzmärkte sind zu einem bedeutenden Phänomen der modernen Gesellschaft geworden. Das Buch führt in die Märkte für Kapital ein, vor allem in die Märkte für Wertpapiere, Vermögenspositionen, Zertifikate und Kontrakte.(Verlagstext)

As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable...

This survey of portfolio theory, from its modern origins through more sophisticated, “postmodern” incarnations, evaluates portfolio risk according to the first four moments of any statistical distribution: mean, variance, skewness, and excess kurtosis. In pursuit of financial models that...

Employing a large number of real and financial indicators, we use Bayesian Model Averaging (BMA) to forecast real-time measures of economic activity. Importantly, the predictor set includes option-adjusted credit spread indexes based on bond portfolios sorted by maturity and credit risk as...