We study the investor behavior on a leading peer-to-business lending platform and find evidence of two new investment biases - a default shock bias and a deep market bias. First, we find investors to stop investing in new loans and to cease from diversifying their portfolio after experiencing a...

In accordance with Basel Capital Accords, the Capital Requirements (CR) for market risk exposure of banks is a nonlinear function of Value-at-Risk (VaR). Importantly, the CR is calculated based on a bank’s actual portfolio, i.e. the portfolio represented by its current holdings. To tackle...

This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management. In particular, it is shown that under certain...

In this study, we compare the out-of-sample forecasting performance of several modern Value-at- Risk (VaR) estimators derived from extreme value theory (EVT). Specifically, in a multi-asset study covering 30 years of stock, bond, commodity and currency market data, we analyse the accuracy of the...

This paper examines the impact of the recent global financial crisis on the cost of debt capital (syndicated loans) in a leading emerging market, namely China, using difference-in-differences and GARCH approaches. Before the crisis China adopted banking reforms allowing entry of foreign banks...

We examine the ability of policymakers to stimulate household borrowing and spending during the Great Recession by reducing banks' cost of funds. Using panel data on 8.5 million U.S. credit card accounts and 743 credit limit regression discontinuities, we estimate the marginal propensity to...

We develop a sovereign debt model with official and private creditors where default risk depends on both the level and the composition of liabilities. Higher exposure to official lenders improves incentives to repay but carries extra costs, such as reduced ex-post flexibility. The model implies...

We develop a stylized DSGE model in which banks face capital regulation and their loan portfolios are subject to non-diversifiable losses due to aggregate shocks. The framework is used to explore the importance of the interaction between macroeconomic conditions, credit default and bank...

We propose a joint dating of the Italian business and credit cycle on a historical horizon, by applying a local turning-point dating algorithm to the level of the variables. Along with short cycles, corresponding to traditional business cycle fluctuations, we also investigate medium cycles,...

This paper uses data from a panel of more than 400 Italian banks for the period 2001 - 2012 to examine the main determinants of loan loss provision (LLP), which are classified as either discretionary (income smoothing, capital management, signalling) or non-discretionary (related to the business...