This note studies the long-run relationship between real estate and stock markets in the Taiwan context over the 1986Q3 to 2006Q4 period, using standard cointegration test of Johansen and Juselius (1990) and that of Engle-Granger (1987) as well as the fractional cointegration test of Geweke and...

We examine the effect of Chinese news on announcement drift and investigate its application to portfolio management, applying a linguistic analysis to extract various dimensions of the information content. Our empirical results reveal a positive (negative) relationship between news sentiment and...

This note studies the long-run relationship between real estate and stock markets in the Taiwan context over the 1986Q3 to 2006Q4 period, using standard cointegration test of Johansen and Juselius (1990) and that of Engle-Granger (1987) as well as the fractional cointegration test of Geweke and...

Individual investors that are also natural persons play an important role in the stock market as providers of liquidity, and it is their investment performance that directly influences their rate of survival in the market. As to whether the outcome of their operating performance is due to their...

We construct a sentiment index with the incorporation of representative proxies in the Taiwan Stock Market and investigate the application of a cross-section of stock returns. The major contribution of the study is that the huge Chinese financial news related to each listed stock is collected...

We construct a market aggregate news confidence index (ANCI) by collecting the huge Chinese financial news related to each stock listed on the Taiwan Stock Exchange. ANCI is constructed by using linguistic analysis which could also be a sentiment proxy for the decision reference. The empirical...

This study investigates the relationship between the news effect and the abnormal returns. The content analysis is applied to quantify the public news related to the listed stocks in the Taiwan Stock Market. By Referring to Demers and Vega (2011), this study constructs the net optimism of public...

We apply computational linguistic text mining (TM) analysis to extract and quantify relevant Chinese financial news in an attempt to further develop the classical early warning models of financial distress. Extending the work of Demers and Vega (2011), we propose a measure of the degree of...

This study investigates whether the news release prior to the earnings announcement would influence different investors' trading behavior during the earnings announcement periods. We bridge the gaps between this study and the previous analyses that the technology of text mining is applied to...

We propose a corporate default rating process in the Taiwan Stock Market which incorporates financial ratios, corporate governance, macroeconomic variables and financial media reports. In contrast to the prior studies, we construct alternative measurements of the ‘distress intensity of...