Behaviour of Stock Returns in the KLSE: A Test of the Random Walk Hypothesis

A sample of 224 companies listed in the Kuala Lumpur Stock Exchange was taken for the period 1991-96. The serial correlations tests of varying lags and the runs tests were employed to test for the random walk theory. The bulk of the results tilts towards the rejection of non-randomness, lending weight to the argument that the stock market has no memory, and casting doubt upon the usefulness of technical analysis.

Predictive Analytics in Stock Markets with Special Reference to BSE Sensex

Predictive analytics in finance is the art and science of using substantial quantities of data to find arrays. An Array can be termed as pattern or movement. Predictive analytics identifies patterns in large data volumes and helps to minimize future uncertainties. Predicting stock market returns is a puzzling task due to the multifaceted nature of the data. The present study is an applied application of the prediction and random walk theory on SENSEX behavior at an advanced level. Stock Market is the most dynamic element in the financial system and will play a crucial role in the progress of any country. The focus is on how much more on how to improve the forecasting models in terms of the performance of indices. The present model shows some commendable results in the prediction modelling reference to Indian stock market (BSE SENSEX). The designed model is also having utility for traders and investors estimating price movements of stocks at near future. Generally, the Fundamental Analysis comprises of evaluating the company’s profitability on the basis of its current business environment and financial performance in the future. Technical Analysis includes interpreting the charts and using statistical figures to identify the patterns in the stock market. A number of market indicators are believed to offer signals which are beneficial in anticipating future prices. For this purpose data of BSE Sensex data has been taken (January 2010- September 2018) from bseindia.com. The results exhibit that the Sensex would also gain momentum in the year 2019.

PENGUJIAN EFISIENSI PASAR BENTUK LEMAH PADA PASAR MODAL INDONESIA PERIODE 2014-2017

Investigate the current consumption of assets for the benefit of the future. The investment canbe done by only one in the capital market which means that the investment is invested in the initialcapital assets. Profit or the same value is aimed at the investor's main interest in investing not releasedfrom risk money. Such risks are inevitably uncertain about information movement in the stock market.Relevant information available can be used as a basis for making decisions when to buy shares orretain holdings of shares. In addition, information can also be a basis for consideration when to releaseshares or not to buy shares at all. This information relates to Efficient Market Hypothesis (HPE) whichcontinues to research in financial markets. One of the forms of the Efficient Market (HPE) hypothesis isthat market efficiency is a weak form that is examined in this study. This market efficiency form isrelated to random walk theory which assumes that past data is not related to present value.