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...

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.

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...

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...

Managers are responsible for providing financial statements and they might try to make a good picture of their firm's conditions. Therefore, they try to delay the disclosure of bad news and release the good news as soon as possible. The ten-dency of managers toward hiding bad news increases the stock price crash risk. The protection of investor is one of the factors that can prevent from fallin...

Stock price, been studied for hundreds of years, is one of the most versatile thus hardly predictable things that is deeply rooted in the modern economy. With the trading frequency reaching sub-second and beyond, more advanced real-time stock price prediction tools would be highly demanded in addition to traditional financial analysis. In this work, we applied SVM and Naïve Bayes algorithms to ...

Changes in stock price will be influenced by many aspects of factors. When we are predicting stock price, it is difficult to build a determined mathematical model between stock prices and these complex factors. This paper first utilizes ε − SVM (ε − support vector machine) to build a stock price prediction model. By fitting the prediction error sequence, we find the law factors, which the predi...