Both mathematical modelling and simulation methods in general have contributed greatly to understanding, insight and forecasting in many fields including macroeconomics. Nevertheless, we must remain careful to distinguish model-land and model-land quantities from the real world. Decisions taken...

Researchers and practitioners who use Data Envelopment Analysis often want to incorporate several inputs and outputs in their model to consider as much relevant information as possible. However, too many inputs and outputs can result in the well-known dimensionality problem referred to as the...

Monthly return distributions of many private equity and hedge funds indices exhibit a set of distinctive statistical properties; such as skewness, fat-tails, and first-order serial correlation; and if these are ignored then the calculation of risk-return performance measures, asset allocation or...

Over the last few years, Bitcoin and other cryptocurrencies have attracted the interest of many investors, practitioners and researchers. However, little attention has been paid to the predictability of their risk measures. In this paper, we compare the predictability of the one-step-ahead...

We examine whether and how institutional investors respond to mandatory climate risk disclosure. We exploit the staggered adoption of a climate risk disclosure regulation by U.S. states that made the disclosure mandatory for insurers. Leveraging detailed data on insurers' investment portfolios,...

This article examines the risk-related financial performance for ESG (Environmental, Social, and Governance) through the investments of ETFs. We employ Oil & Gas ETFs as a benchmark. We introduce the Value-at-Risk (VaR) and modified Sharpe Ratio based on such measurement as representative of...

Climate change is a phenomenon beset with major uncertainties and researchers should include them in Integrated Assessment Models. However, including further dimensions in IAM models comes at a cost. In particular, it makes most of these models suffer from the curse of dimensionality. In this...

Climate change is a phenomenon beset with major uncertainties and researchers should include them in Integrated Assessment Models. However, including further dimensions in IAM models comes at a cost. In particular, it makes most of these models suffer from the curse of dimensionality. In this...

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated...

In the late 90's, after severe financial and economic crisis, accompanied by inflation and exchange rate instability, Eastern Europe emerged into two groups of countries with radically contrasting monetary regimes (Currency Boards and Inflation targeting). The task of our study is to compare...