This paper studies the exposure of the stock prices of Australian gold-mining firms to changes in gold prices and the valuation effects of gold price exposure. Goldmining firms have significant gold price exposure; the price of the average goldmining stock moves 0.76% for each 1.00% change in Australian-dollar-denominated gold prices. Evidence from the behaviour of stock price sensitivities sug...

News stories about publicly traded companies are labeled positive or negative according to price changes of the company stock. It is shown that models based on lexical features can distinguish good news from bad news with accuracy of about 70%. Unfortunately, this works only when stories are labeled according to cotemporaneous price changes but does not work when they are labeled according to s...

Prediction of stock prices plays a significant role in aiding the decision-making investors. Considering its importance, growing literature has emerged trying to forecast with improved accuracy. In this study, we introduce an innovative approach for forecasting greater We incorporate external economic environment-related information along prices. our novel approach, improve performance price pr...

We study auto-correlations and cross-correlations of daily price changes and daily volume changes of thirteen global stock market indices, using multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross-correlation analysis (MF-DXA). We find rather distinct multifractal behavior of price and volume changes. Our results indicate that the time series of price changes a...

We investigate the importance of text analysis for stock price prediction. In particular, we introduce a system that forecasts companies’ stock price changes (UP, DOWN, STAY) in response to financial events reported in 8-K documents. Our results indicate that using text boosts prediction accuracy over 10% (relative) over a strong baseline that incorporates many financially-rooted features. This...

For a simple model of a stock, whose stock price is a geometric Brownian motion in which the drift rate changes back and forth between positive and negative values, optimal selling times are computed. An infinite optimal selling time meaning you should just hold the stock.