F orecasting the volatility of a financial asset has wide implications in finance. Conditional variance extracted from the GARCH framework could be a suitable proxy of financial asset volatility. Option pricing, portfolio optimization, and risk management are examples of implications of conditional variance forecasting. One of the most recent methods of volatility forecasting is Real...

importance of risk and uncertainty in financial markets became more apparent after financial crisis in 2007. volatility is the most important measure of risk in financial markets. thus, modeling volatility of financial markets is one of the important issues in finance and economics. in this paper first we tried to specify key features of volatility of daily returns of tehran stock exchange pric...

Volatility is the primary measure of risk in modern finance and volatility estimation and inference has attracted substantial attention in the recent financial econometric literature, especially in high-frequency analyses. High-frequency prices carry a significant amount of noise. Therefore, there are two volatility components embedded in the returns constructed using high frequency prices: the...

the research problem investigated in this paper is modeling volatility and analyzing risk and return’s relationship in tehran stock exchange using garch-family models including garch(1,1), garch(2,2), egarch(1,1), pgarch(1,1), tgarch(1,1), garch(1,1)-m and cgarch(1,1). using the daily returns of tehran stock exchange companies, we focused on two portfolios of all the companies during a 10-year-...

T his study aims to demonstrate that joining in risk sharing network leads to the reduction in incomes volatility. In this respect, income variance for a group of members in an informal insurance is modelled in which income variance prior to joining risk sharing network and after joining is analyzed statistically. A Monte Carlo simulation technique is used to prove the result. To extend an...

We estimate latent factor models of liquidity and volatility. Common liquidity and volatility factors are extracted using multiple liquidity and volatility measures. Additionally, latent factors are extracted by aggregating across both liquidity and volatility resulting in what we will call the common “uncertainty” factors. We find that volatility and the common uncertainty risk are significant...

Marital status can both reflect and affect individual preferences. We explore the impact of marriage on corporate CEOs, and find that firms run by single CEOs exhibit higher stock return volatility, pursue more aggressive investment policies, and do not respond to changes in idiosyncratic risk. These effects are weaker for older CEOs. Our findings continue to hold when we use variation in divor...