An important role for bank capital is that of a buffer against unexpected losses. As uncertainty about these losses increases, the theory predicts an increase in the optimal level of bank capital. This paper investigates this implication empirically with U.S. Commercial Banks data and finds...

This paper examines the performance of Islamic banks (IBs) and conventional banks (CBs) during the recent global crisis by looking at the impact of the crisis on profitability, credit and asset growth, and external ratings in a group of countries where the two types of banks have significant...

This paper evaluates existing income support programs for the unemployed in the Philippines, as well as programs used for this purpose in other countries. It provides a systematic survey of both arguments in favor of and against a certain program. By placing the discussion in the framework of...

Unbalanced bidding models have largely ignored the risk aspect of item pricing. Many researchers have acknowledged that there are considerable risks associated with unbalancing a bid but little has been done to describe these risks, let alone model them. A new framework is proposed by which all...

The revenue risk is of great importance to ensure the success of a real toll public-private partnership (PPP) transportation project. Past research has proposed a revenue guarantee put option as an alternative way to quantify and potentially manage this risk. A practical, or commercial,...

This paper proposes a new approach to measure dependencies in multivariate financial data. Data in finance and insurance often cover a long time period. Therefore, the economic factors may induce some changes within the dependence structure. Recently, two methods have been proposed using copulas...

The interrelation between the drift coefficient of price processes on arbitrage-free financial markets and the corresponding transition probabilities induced by a martingale measure is analysed in a discrete setup. As a result, we obtain a flexible setting that encompasses most arbitrage-free...

Measuring the risk of a financial portfolio involves two steps: estimating the loss distribution of the portfolio from available observations and computing a 'risk measure' that summarizes the risk of the portfolio. We define the notion of 'risk measurement procedure', which includes both of...

The quality of operational risk data sets suffers from missing or contaminated data points. This may lead to implausible characteristics of the estimates. Outliers, especially, can make a modeler's task difficult and can result in arbitrarily large capital charges. Robust statistics provides...