Using a new hand-collected data set, this study examines the stock price manipulation in the Taiwan Stock Exchange (TSE). We examine the characteristics of the manipulated stocks, and their impacts on market quality. The results show that manipulated stocks tend to be small. The stock prices rise throughout the manipulation period, followed by a price reversal. The average cumulative abnormal r...

â â â  â â â â â  the main purpose of present study is to analyze the relationship between stock and exchange markets in two asian countries, iran and south korea. a monthly time series of stock price and exchange rate are used over the period 2002: 05 - 2012: 03. the data is collected from the central bank of each country and wdi. the calculated stock return and real exchange rate change are u...

Stock market volatility is the systematic risk faced by investors who hold a market portfolio (e.g., a stock market index fund). Schwert (1989b) has undertaken an extensive study of stock market volatility, using historical data back to the 19th century. Some of his major findings are illustrated in Figure 1, which plots quarterly stock market volatility for the post-World War II period.1 The f...

In the paper we study the relationship between macroeconomic and stock market volatility, using S&P500 data for the period 1970-2001. We find weak evidence of long memory in volatility once structural change is accounted for and a twofold linkage between stock market and macroeconomic volatility: macroeconomic volatility explains the persitent dynamics in stock market volatility, while stock ma...

Stock market volatility is the systematic risk faced by investors who hold a market portfolio (e.g., a stock market index fund). Schwert (1989b) has undertaken an extensive study of stock market volatility, using historical data back to the 19th century. Some of his major findings are illustrated in Figure 1, which plots quarterly stock market volatility for the post-World War II period.1 The f...

In recent years, authors have focused on modeling and forecasting volatility in financial series it is crucial for the characterization of markets, portfolio optimization and asset valuation. One of the most used methods to forecast market volatility is the linear regression. Nonetheless, the errors in prediction using this approach are often quite high. Hence, continued research is conducted t...

Volatility spillover effect in international financial markets is one of the principal issues that widely attract academic and industrial scholars’ attention. Through constructing a binary GARCH-BEKK model, this study empirically tests the volatility effects among stock market, gold market, WTI crude oil futures market and spot market, and concludes that there is bidirectional volatility spillo...

This paper investigates the nature of volatility characteristics of stock returns in the Bangladesh stock markets employing daily all share price index return data of Dhaka Stock Exchange (DSE) and Chittagong Stock Exchange (CSE) from 02 January 1993 to 27 January 2013 and 01 January 2004 to 20 August 2015 respectively.  Furthermore, the study explores the adequate volatility model for the stoc...

It is widely believed that the resilience of the stock market and its ability to accurately set prices are affected by credit conditions in the economy. A scarcity of deployable capital may cause market-makers to become financially constrained, leading to a breakdown in intermediation. This paper describes another channel by which the supply of available capital affects secondary market liquidi...

This study examines the statistical properties of volatility. Fractal dimension, probability distribution and two-point volatility correlation are used to measure and compare volatility among six di¤erent countries for the 12-year period from Jan. 1 1990 to Dec.31 2001. New York market is found to be the strongest among the six in terms of market e¢ ciency. Moreover, the Tokyo and Singapore mar...