We propose a model to describe stock pinning on option expiration dates. We argue that if the open interest on a particular contract is unusually large, delta-hedging in aggregate by floor market-makers can impact the stock price and drive it to the strike price of the option. We derive a stochastic differential equation for the stock price which has a singular drift that accounts for the price...

Stock price prediction has attracted much attention from both practitioners and researchers. However, most studies in this area ignored the non-stationary nature of stock price series. That is, stock price series do not exhibit identical statistical properties at each point of time. As a result, the relationships between stock price series and their predictors are quite dynamic. It is challengi...

Acquisition announcements generate predictable movements in the price of the acquirer’s stock. For example, post-announcement returns are typically negative for high Tobin’s q acquirers, stock transactions, and foreign targets, but positive for private equity-backed private targets. Pre-announcement trading of acquirer’s stock is more likely to be attributable to insider trading when the pre-an...

the purpose of this article is to test whether the stock price index of the tehran stock exchange is located in the efficeent set of portfolios or not. in this paper the mehtod introduced by elton, gruber and padberg was used to determine the efficiency of the tse stock price index. the results showed that the tse index is not located in the efficient set.

Being able to quantify the probability of large price changes in stock markets is of crucial importance in understanding financial crises that affect the lives of people worldwide. Large changes in stock market prices can arise abruptly, within a matter of minutes, or develop across much longer time scales. Here, we analyze a dataset comprising the stocks forming the Dow Jones Industrial Averag...

The purpose of this research is predicting the stock prices using the Particle Swarm Optimization Algorithm and Box-Jenkins method. In this way, the information of 165 corporations is collected from 2001 to 2016. Then, this research considers price to earnings per share and earnings per share as main variables. The relevant regression equation was created using two variables of earnings per sha...

We investigate the ability of a tax-based fundamental—the ratio of taxto-book income—to predict earnings growth and stock returns and to explain the earnings-price ratio. This tax fundamental reflects both temporary and permanent book-tax differences as well as tax accruals, such as changes in the tax valuation allowance. We find that the tax-to-book income ratio predicts subsequent five-year e...

We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness assets comprised of two option positions (one long and one short) and a position in the underlying stock. The assets are created such that exposure to changes in the underlying stock price (delta) and exposure to changes in implied volatility (vega) are removed, isolating the effect of skewness....

International equity markets linkages are characterized by nonlinear dependence and asymmetries. We investigate shifts in long run comovements in stock markets by means of an ‘interrupted’ Markov switching cointegration specification. This flexible approach allow us to study to what extent documented changes in global integration are permanent, or whether market linkages are subject to changes....

The stock price has long been an essential issue in stock market analysis, while rarely had any relevant study covered the relational effect of the bidder factor on stock price. Hereby we try to find an association between bid and transaction price time series. The fluctuation of pattern ratios embedded in the bid series affects the fluctuation of transaction price. That means when there is sma...