Identi cation of patterns in stock markets has been an important subject for many years. In the past, numerous techniques, both technical and econometric, were used to predict changes in stock markets, but dependences among all the companies listed on a stock market were considered in a limited extent. Numerous studies con rm that larger stocks items appear to in uence smaller ones and that, on...

Capital Assets Pricing Model is used as a tool for the estimation of Investments in Capital Markets with the relation of Expected return and Risk on Securities. This study examines the applicability of CAPM on Pakistan Stock Markets and Karachi Stock Exchange being the main capital market of Pakistan is taken for the study. The analysis is done by taking a sample of 10 performing companies of 1...

This paper studies the use of social simulation in linking micro level investor behaviour and macro level stock market dynamics. Empirical data from a survey on individual investors' decision-making and social interaction was used to formalize the trading and interaction rules of the agents of the artificial stock market SimStockExchange. Multiple simulation runs were performed with this artifi...

This paper identi®es four categories of formal stock market in Africa: South Africa, medium-sized markets, small new markets which have experienced rapid growth, and small new markets which have yet to take o€ . The hypothesis that a stock market price index follows a random walk is tested for South Africa, ®ve medium-sized markets (Egypt, Kenya, Morocco, Nigeria and Zimbabwe) and two small new...

In this paper, we introduce a volatility-based method for clustering analysis of …nancial time series. Using the generalized autoregressive conditional heteroskedasticity (GARCH) models we estimate the distances between the stock return volatilities. The proposed method uses the volatility behavior of the time series and solves the problem of di¤erent lengths. As an illustrative example, we inv...

Europe’s ’New’ Stock Markets* The creation of Europe’s ‘new’ stock markets represents a major experiment in market design with important implications for the ability to support innovative, fast-growing companies. We evaluate the success of these markets based on a large number of measures of firm performance and strategy, which extend to several preand post-listing years. Our handcollected data...

This study extends the dynamic conditional correlation model to allow day-specific correlations of shocks across international stock markets. The properties of the resulting periodic dynamic conditional correlation (PDCC) model are examined, with the model then applied to study the intra-week interactions between six developed European stock markets and the US over the period 1993 2005. We find...

In recent years, large amounts of financial data have become available for analysis. We propose exploring returns from 21 European stock markets by model-based clustering of regime switching models. These econometric models identify clusters of time series with similar dynamic patterns and moreover allow relaxing assumptions of existing approaches, such as the assumption of conditional Gaussian...

This study extends the dynamic conditional correlation model to allow day-specific correlations of shocks across international stock markets. The properties of the resulting periodic dynamic conditional correlation (PDCC) model are examined, with the model then applied to study the intra-week interactions between six developed European stock markets and the US over the period 1993 2005. We find...

A b s t r a c t a r t i c l e i n f o JEL classification: C23 G15 Q43 Keywords: Asymmetric effects International stock markets Oil prices Panel data Oil price volatility Although studies have found an asymmetric pattern in the response of aggregate output to oil price changes, parallel studies in stock markets have not been conclusive about their existence. This paper finds evidence that effect...