beta

The aim of this paper is to analyze the multiscale pricing model with the wavelet analysis approach, Fama-French three-factor model, and nonliquidity in Tehran Stock Exchange. It was also desirable to figure out how stock returns, Fama-French factors, and nonliquidity were related in different intervals. According to the results, various outcomes were obtained at different intervals. Stock returns had significant relationships with  (the ratio of book value to market value) and nonliquidity in the long term. Stock returns had significant relationships with the beta,  , and company size in the midterm, too. There was also a significant relationship between stock returns and the company size in the short term. The proposed methodology suggests that investors should employ dynamic portfolio management strategy and multiscale risk-return evaluation to seize investment opportunities.

This study aims to investigate the correlation between the diversification and accruals quality (AQ) in Iran’s mutual funds considering two main hypotheses and four sub-hypotheses. This research investigates the effects of cases such as beta of the company, the company's return on assets, debt ratio of company, firm's size, and accrual quality on the company's cost of capital and considers the effect of mutual funds’ diversification on decreasing information risk calculated through accruals quality in Tehran Stock Exchange (TSE) and Iran Farabourse listed companies. This research investigates 42 mutual funds from 2009 to 2013. Furthermore, the financial data of companies is considered for 20 years up to 2013 in order to calculate the accruals quality. The research results indicate that the factors such as the company's beta, the company's return on assets, and the ratio of firm's debt have direct correlation with cost of capital and this indicates that the increased risk in the form of beta and debt ratio increases the investors' expected return. However, the firm's size is inversely correlated with the cost of capital indicating that the increased firm's size provides the possibility of borrowing and bargaining at lower costs for companies. Furthermore, diversification in mutual funds results in lowering information risk caused by low accrual quality. Accordingly, the result of this research can help the mutual funds’ managers and investment companies to better manage their investments

When evaluating companies and investment plans, most analysts use a discount rate that is derived from CAPM models. The beta in these models usually represent risks and opportunities of the relative industry, with almost no attention to the risks that are already included in the beta. This ignorance in risk measurement could ultimately impair shareholders value. What makes things critical is that by adjusting risks and opportunities in beta, the result of investment plans and company valuation could be much different. In this paper we use 1 to 10 years of monthly return data for all industries of Tehran Stock Exchange and Iran Fara Bourse and suggest an adjusted beta for each industry which is stripped of the dazzling effects of the debts and growth opportunities. We separately account for breaking down beta into beta of growth opportunities and beta of existing assets for each industry in various timelines between 1 to 10 years. Our results showed that the beta of growth opportunities is bigger than the beta of assets for almost all industries. The mentioned betas can make a big difference in cost of capital and we suggest using them when evaluating investment plans, development plans, valuation of companies and even start-ups.