Modeling and Forecasting Volatility of the Malaysian Stock Markets

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Modeling and Forecasting Volatility in Indian Capital Markets

Various volatility estimators and models have been proposed in the literature to measure volatility of asset returns. In this paper, we compare empirical performance of various unconditional volatility estimators and conditional volatility models (GARCH and EGARCH) using time-series data of S&PCNX Nifty, a value-weighted index of 50 stocks traded on the National Stock Exchange (NSE), Mumbai. Th...

متن کامل

The Role of Implied Volatility in Forecasting Future Realized Volatility and Jumps in Foreign Exchange, Stock, and Bond Markets

We study the forecasting of future realized volatility in the foreign exchange, stock, and bond markets from variables in the information set, including implied volatility backed out from option prices. Realized volatility is separated into its continuous and jump components, and the heterogeneous autoregressive (HAR) model is applied with implied volatility as an additional forecasting variabl...

متن کامل

Stock Markets Volatility and International Diversification

During the last decades, the financial markets volatility concept attracted the attention of the theorists and the experts in the field of finance, especially for the internationally diversified wallets. In this article, we used an asymmetric dynamic conditional correlation (DCC-GARCH (1.1)) model following the approach of Engle (2002), to test if the volatility of individual market or their re...

متن کامل

A Cumulant-based stock market volatility modeling – Evidence from the international stock markets

The pourpose of this paper is to propose the Stock Market (SM) volatility estimation method based on the Higher Order Cumulant (HOC) function, and to apply it to the cases when stock market returns have a non Gaussian distribution and/or when a distribution of SM innovations is unknown. The HOC functions of the third and fourth order are used not only as a means for non Gaussian model testing b...

متن کامل

Do macrofactors help forecasting stock market volatility?∗

This study examines several dynamic heteroskedastic factor model specifications to test for the confidence set of model parametrizations that best incorporate economy-wide information for forecasting stock market volatility. To this end, diffusion indices (i.e. factors) are distilled from two large sets of US excess stock returns and macroeconomic variables. Using 40 years of data, the main emp...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Mathematics and Statistics

سال: 2009

ISSN: 1549-3644

DOI: 10.3844/jmssp.2009.234.240