This paper studies the historical time-varying dynamics of risk for individual stocks in the U.S. market. Total risk of an individual stock is decomposed into two components, systematic risk and idiosyncratic risk, and both components are studied separately. We start from the historical trend in...

This paper examines the relationship between idiosyncratic risk and stock returns in BRICS (Brazil, Russia, India, China, and South Africa) countries by applying parametric and nonparametric approaches. It also explores the idiosyncratic risk puzzle by dividing firms into groups based on...

This paper examines how risk in trading activity can affect the volatility of asset prices. We look for this relationship in the behavior of interest rate swap spreads and in the volume and interest rates of repurchase contracts. Specifically, we focus on convergence trading, in which...

This research considers the strategies on the initial public offering of company equity at the stock exchanges in the imperfect highly volatile global capital markets with the nonlinearities. We provide the IPO definition and compare the initial listing requirements on the various markets. We...

Manipulation in the VIX settlement can cause significant losses to investors. Analysing high-frequency data, we present indications of VIX manipulation accelerating since 2017. Deviations have an upward direction and average at around 6%. Specific effects accompany settlement days. The put/call...

In this work we analyze, explore and measure two of the most important concepts for the theory of storable commodity markets. After analyzing the statistical properties of spot and futures EU ETS allowances for Germany and France, we model and test the risk premium and convenience yield for CO2...

​This paper studies the impact of uncertainty on the investors' reactions to news on macroeconomic statistics. With daily data on realized volatility and trading volume, we show that the investors in the US Treasury bond futures market react significantly stronger to US macroeconomic news in...

Stock prices are one of the most volatile economic variables and forecasting stock prices and their returns has proved very challenging, if not impossible. In this paper, we apply a battery of linear and nonlinear models to forecast the returns in nine international stock exchanges for the...

The financial markets stylized facts, volatility and its relationship with returns tested empirically in Tehran Stock Exchange (TSE). ARMA- ARCH type models including two symmetric conditional hetroscedastic models; ARMA (1, 1) - ARCH (1) and ARMA (1, 1) - GARCH (1, 1) and two asymmetric...

In this article the relationship between market return and volatility is examined by applying out-of-sample methodology and ARCH (M) class models in the Tehran Stock Exchange (TSE) and international stock exchanges. The results are inconsistent with portfolio theory implications in NASDAQ, ISE...