Price return and P/E are two important factors for a lot of investors based on the latest studies by researchers in Tehran Stock market; however, it is expected that the price and the variation of that affect the return and the P/E of any given market as a complicated system. The Bohmian quantum mechanics used referring to the time correlation of return and P/E of the stock market under conside...

using the treynor and mazoy model (expanded by fama to evaluate management performance for asset allocation among investment units), this paper examines the management’s performance in funds and investment companies in tehran stock exchange during 2004-2010. the results do not support the application of management market timing during the study period and managers were only able to create addit...

this research applies and compares the market leverage lally method, ibbotson and sinquefield method and siegel method, to present alternative measures for market risk premium (mrp) estimation and test forecasting power of these methods in calculating expected rate of return. the higher level of leverage implies greater risk of investment in a specified stock, so higher return is expected by in...

Recorded prices are known to diverge from their “efficient” values due to the presence of market microstructure contaminations. The microstructure noise creates a dichotomy in the model-free estimation of integrated volatility. While it is theoretically necessary to sum squared returns that are computed over very small intervals to better indentify the underlying volatility over a period, the s...

Article history: Received 26 July 2012 Received in revised form 24 May 2014 Accepted 26 May 2014 Available online 3 June 2014 This paper analyzes the risk–return trade-off in Europe using recent data from 11 European stock markets. After relaxing the linear assumptions in the risk–return relationship by introducing a new approach that considers the current state of the market, we obtain signifi...

This paper studies how market closures affect investors' trading policies and the resulting return-generating process. It shows that closures generate rich patterns of time variation in trading and returns, including those consistent with empirical findings: (1) U-shaped patterns in the mean and volatility of returns over trading periods, (2) higher trading activity around the close and open, (...