This study provides new insights into the relationships between social media sentiments and the stock market in China. Based on machine learning, we classify microblogs posted on Sina Weibo, a Twitter's variant in China into five detailed sentiments of anger, disgust, fear, joy, and sadness. Using wavelet analysis, we find close positive linkages between sentiments and the stock return, which h...

The purpose of this study is to investigate the determinants of stock investors’ intention towards using mobile stock trading. Based on a modified UTAUT (unified theory of acceptance and use of technology) with risk perceptions, a comprehensive research model was proposed. An empirical survey with a valid sample of 329 stock investors was conducted in Taiwan to test the research model. The anal...

In this paper, we present a large vocabulary , speaker independent speech recognition sys-tem(KT-STOCK) and describe its performance over the telephone network. KT-STOCK is a stock information retrieval system with which we can obtain the current price of a stock by saying a stock name among 710 stock names listed on the Korea stock exchange. The system is an HMM(hidden Markov model)-based isol...

Financial firms make up a substantial fraction of the domestic equity market. A number of studies subsequently used different conceptual and methodological approaches to model equity return of financial services firms. Movement of the stock price as the consequence of the movement of the micro and macroeconomic factors is strongly supported by the literature review. Amman Stock Exchange in Jord...

In our previous work, we have developed a multi-agent based simulated stock market where artificial stock traders coevolve by means of individual and social learning and learn to trade stock profitably. We tested our model on a single stock (British Petroleum) from the LSE (London Stock Exchange) where our artificial agents demonstrated dynamic learning behaviours and strong learning abilities....

The goal of this chapter is to examine whether the time series of returns of securities listed on Taiwan’s stock exchange exhibit significant nonlinear serial dependencies, as do those of other stock exchanges throughout the world, and, if so, to examine the pervasiveness of such dependencies across the individual stocks trading on the Taiwan Stock Exchange. First, an examination of the charact...

We use daily price indices obtained from the Morgan Stanley Capital International to construct realized volatility for 18 individual stock markets, including the US, and the world stock market. In contrast with the CAPM, we find that volatility by itself does not forecast excess returns in most countries; however, it becomes a significant predictor when combined with the US consumptionwealth ra...

We analyze the relations between the stock market and a stock bulletin board system (BBS) in Japan. Previous studies in the USA found that the characteristics of messages posted on stock BBSs can predict market volatility and trading volume. We develop hypotheses based on the results of those analyses and apply statistical analysis to the data about companies mentioned in a large number of mess...

Ten stocks of Cowdria ruminantium (Ball 3, Breed, Comoro, Germishuys, Kümm, Kwanyanga, Mali, Mara, Nonile and Welgevonden) were compared from a cross-immunity, serological and mouse pathogenicity point of view. They were found to differ in varying degrees. Except for the Ball 3, Comoro and Germishuys stocks that were similar but not identical, there was no pattern in the antigenic diversity of ...