Market risk management is one of the key factors to success in managing financial institutions. Underestimated risk can have desastrous consequences for individual companies and even whole economies, not least as could be seen during the recent crises. Overestimated risk, on the other side, may...

Empirical studies have shown that a large number of financial asset returns exhibit fat tails and are often characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in market volatility, with significant impact on pricing and...

We present an accurate and efficient method for Bayesian forecasting of two financial risk measures, Value-at-Risk and Expected Shortfall, for a given volatility model. We obtain precise forecasts of the tail of the distribution of returns not only for the 10-days-ahead horizon required by the...

Among the most popular techniques for portfolio insurance strategies that are used nowadays, the so-called \Constant Proportion Portfolio In- surance" (CPPI) allocation simply consists in reallocating the risky part of a portfolio according to the market conditions. This general method crucially...

Market risk management is one of the key factors to success in managing financial institutions. Underestimated risk can have desastrous consequences for individual companies and even whole economies, not least as could be seen during the recent crises. Overestimated risk, on the other side, may...

Over recent years, study on risk management has been prompted by the Basel committee for regular banking supervisory. There are however limitations of some widely-used risk management methods that either calculate risk measures under the Gaussian distributional assumption or involve numerical...

Empirical studies have shown that a large number of financial asset returns exhibit fat tails and are often characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in market volatility, with significant impact on pricing and...

Using daily return data from the four major Central and Eastern European stock markets including fourteen highly liquid stocks and ATX (Vienna), PX (Prague), BUX (Budapest), and WIG20 (Warsaw) market indices, we model the value-at-risk using a set of univariate GARCH-type models. Our results...

We continue publishing the four-part consultation of professor of Moscow School of Economics of Lomonosov MSU Dean Fantazzini. The first part, that appeared in 2 (10), 2008 of the journal, dealt with the introduction to the problem (section one: basic concepts and types of financial risks,...

The article deals with a recent and much up to date field of econometric science not yet known to the Russian reader — financial econometrics. Terminology and concepts of different kinds of risk management as well as methods of its measurement are considered in the paper. The article is a...