We construct a neural network algorithm that generates price predictions for art at auction, relying on both visual and non-visual object characteristics. We find that higher automated valuations relative to auction house pre-sale estimates are associated with substantially higher...

We propose and implement a method to identify shocks to transition risk, addressing key challenges regarding its definition and measurement. Our shocks are instances where significant new information about the economic relevance of climate change increases the valuation of green firms over brown...

How do commodity price movements affect sovereign default risk over the long-run? Using a novel dataset covering 41 countries and 42 raw commodities, we take a comprehensive long-run view to shed light on this so far understudied relationship between commodity risk and sovereign risk across 150...

We analyze the performance of marketplace lending using loan cash flow data from the largest platform, Lending Club. We find substantial risk-adjusted performance of about 40 basis points per month for the entire loan portfolio. Other loan portfolios grouped by risk category have similar...

Affine term structure models of bond yields are important tools for analyzing fixed income markets and monetary policy. Estimators of Adrian, Crump, and Mönch (2013) and Diez de Los Rios (2015) replace time-consuming nonlinear search procedures with a set of simple linear regressions. However,...

In this paper, we directly test the Modigliani-Miller theorem in the lab. Applying a general equilibrium approach and not allowing for arbitrage among firms with different capital structures, we are able to address this issue without making any assumptions about individuals’ risk attitudes and...

The current financial market crisis has impressively demonstrated the importance of an effective credit risk management for financial institutions. At the same time, the use and the valuation of credit derivatives has been widely criticised as a result of the crisis. Over the past decade, credit...

This paper examines price effects related to witching days in the US stock market using both weekly and daily data for three major indices, namely the Dow Jones, S&P500 and Nasdaq, over the period 2000-2021. First it analyses whether or not anomalies in price behaviour arise from witching by...

This study investigates the association between the corporate life cycle and corporate social responsibility (CSR) disclosure in Vietnam. We hypothesize that the ability and motivation of firms to engage in various CSR activities at each stage of the corporate life cycle are different. Data are...

The payoff of many credit derivatives depends on the level of credit spreads. In particular, the payoff of credit derivatives with a leverage component is sensitive to jumps in the underlying credit spreads. In the framework of first passage time models we extend the model introduced in...