This study presents an analysis of the impact of asset price bubbles on the markets for cryptocurrencies and con-siders the standard risk management measure Value-at-Risk (“VaR”). We apply the theory of local martingales, present a styled model of asset price bubbles in continuous time and...

In this chapter we describe stress testing at banks covering the major products and businesses in which banks engage. This includes commercial and retail lending, capital markets (investment banking, sales and trading), and trust and custody. We cover loss and net income modeling and thus...

This paper studies a novel approach for managing macroeconomic volatility in commodity exporting countries. As part of this study, we develop a sovereign risk management model in the context of an Asset-Liability Management (ALM) framework. Our first contribution is an extension of the...

This paper studies a novel approach for managing macroeconomic volatility in developing countries based upon dynamic portfolio optimisation. As part of this study, we develop a sovereign risk management model in the context of an Asset-Liability Management (ALM) framework. First, we solve the...

This study presents an analysis of the impact of asset price bubbles on the markets for cryptocurrencies and con-siders the standard risk management measure Value-at-Risk (“VaR”). We apply the theory of local martingales, present a styled model of asset price bubbles in continuous time and...

Most sovereign wealth funds depend heavily on oil revenues to increase the capital base. Research on the investment performance of sovereign wealth funds however has focused on the returns to their financial asset portfolio. Given their reliance on the monetization of natural resource to...

We quantify the effects of financial regulation in a general equilibrium model with market microstructure. Fund managers trade stocks and bonds in an order-driven market, subject to transaction taxes and constraints on short-selling and leverage. Results are obtained on the equilibrium...

This paper proposes a novel approach to the combination of conditional covariance matrix forecasts based on the use of the Generalized Method of Moments (GMM). It is shown how the procedure can be generalized to deal with large dimensional systems by means of a two-step strategy. The finite...

This paper addresses the open debate about the effectiveness and practical relevance of highfrequency (HF) data in portfolio allocation. Our results demonstrate that when used with proper econometric models, HF data offers gains over daily data and more importantly these gains are maintained...