Stock market prediction is important and of great interest because successful prediction of stock prices may promise attractive benefits. These tasks are highly complicated and very difficult. In this paper, we investigate the predictability of stock market return with Adaptive Network-Based Fuzzy Inference System (ANFIS). The objective of this study is to determine whether an ANFIS algorithm i...

The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. In this paper, we propose an empirical study on the Korean and Hong Kong stock market with an integrated machine learning framework that employs Principal Component Analysis (PCA) and Support Vector Machine ...

The current international integration of financial markets provides a channel for currency depreciation to affect stock prices. Moreover, the recent financial crisis in Asia with its accompanying exchange rate volatility affords a case study to examine that channel. This paper applies a bivariate GARCH-M model of the reduced form of stock market returns to investigate empirically the effects of...

Stock market is seen as a sum total of different happenings, especially if we speak about share price. However, price, any other economic phenomenon combination chance and law. Occasional nature price evident in its everyday trading. In this case law hidden under the opportunity to forecast prices. For longterm periods law-governed can be trend growth, which accompanied by stock crises. The cri...

This paper investigates the voluntary disclosure made by 297 Chinese listed firms in their 1995-2006 annual reports. It aims to determine how firms in the Chinese stock market have responded to the coercive pressure exerted upon them by the market regulatory body, the Chinese Security Regulatory Commission (CSRC) in terms of providing transparent information to the stock market. The findings sh...

We develop a simple behavioral macromodel to study interactions between the real economy and the stock market. The real economy is represented by a Keynesian-type goods market approach while the setup for the stock market includes heterogeneous speculators. Using a mixture of analytical and numerical tools we find, for instance, that speculators may create endogenous boom-bust dynamics in the s...

a r t i c l e i n f o Keywords: Markov switching model Optimal number of states S&P 500 returns A stock market is traditionally considered to shift between bull and bear markets, reflecting the states of high mean and low mean in stock returns, respectively. In this paper, we attempt to detect more different states in a stock market by applying a Bayesian Markov switching model, where the optim...

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...

Establishing the relationship between stock prices and macroeconomic variables is very important for formulating current economic stabilisation policies. This paper investigates the causal relationship between four macroeconomic variables and Dhaka Stock Exchange (DSE) stock prices using cointegration and Granger causality test. The results suggest that cointegration exists between stock prices...