The purpose of the paper is to show some methods of extreme value theory through analysis of Pakistani nancial data. It also in- troduced the fundamental of extreme value theory as well as practical aspects for estimating and assessing nancial models for tail related risk measures.

Low-frequency financial returns can be modelled as centered around piecewise-constant trend functions which change at certain points in time. We propose a new stochastic time series framework which captures this feature. The main ingredient of our model is a hierarchically-ordered oscillatory...

In financial time series analysis structural breaks indicate a fundamental change in market processes. Therefore, those breaks are of great interest for portfolio managers. Knowledge about a structural break could help managers in the orientation of their portfolio. The classical methods of...

Applied econometricians tend to show a long neglect for the proper frequency to be considered while sampling the time series data. The present study shows how spectral analysis can be usefully employed to fix this problem. The case is illustrated with ultra-high-frequency data and daily prices...

A class of semiparametric fractional autoregressive GARCH models (SEMIFAR-GARCH), which includes deterministic trends, difference stationarity and stationarity with short- and long-range dependence, and heteroskedastic model errors, is very powerful for modelling financial time series. This...

In this paper, a modified variance aggregated-time approach is used to examine the long-range dependence behaviour of the Malaysian stock exchange. We studied the 20 years daily data which included the pre- and post-economic crises encountered in the Malaysian stock exchange. The unawareness of...

The main objective of this paper is to detect the existence of financial contagion between the North American and European markets during the recent crises. To accomplish this, the relationships between the US and the Euro zone stock markets are considered, taking the daily equity prices of the...

A new approach is proposed to estimate a large class of multivariate volatility models. The method is based on estimating equation-by-equation the volatility parameters of the individual returns by quasi-maximum likelihood in a first step, and estimating the correlations based on...

This paper examines the synchronization of business cycles across the G7 countries during US recessions since the 1870's. Using a dynamic measure of business cycle synchronization, results depend on the globalisation period under consideration. On average, US recessions have significantly...