نتایج جستجو برای: volatility jel classification g10
تعداد نتایج: 521504 فیلتر نتایج به سال:
Utilizing finance conceptual framework, this paper applies a Frontier-Volatility analysis to illuminate regulatory policies effects on volatility under Iranian Banking Prudential Framework over the period 2003 to 2015 using the raw database collected, classified and compiled by the Rahavard Novin Co. version 3, Securities and Stock Exchange Organization. Findings portray that volatility is affe...
We analyze the implications of financial openness to macroeconomic volatility in a small open economy. The volatility of major macroeconomic aggregates shows non-monotonic pattern with respect to the degree of financial openness in the model without domestic financial frictions. The introduction of domestic financial frictions makes the volatility patterns flatter. Our model explains the lack o...
This paper offers a continuous time, general equilibrium model where a risky asset is traded among risk-averse overconfident investors. Two kinds of overconfidence are introduced: investors exhibit relative overconfidence if each investor believes her model is better than others’ and aggregate overconfidence if they believe signals have more information content than those in the true model. Rel...
This paper attempts to elucidate whether firm performance and macroeconomic conditions play a significant role in explaining credit default swap (CDS) spreads. Our panel dataset covers 112 reference entities in four markets (South Korea, Hong Kong, France, and Germany) for the period 2001-12. Overall, our results suggest that market value indicators (Tobin’s Q, stock market returns, and the int...
Do long-term and short-term options contain di!erential information? If so, can long-term options better di!erentiate among alternative models? To answer these questions, we "rst demonstrate analytically that di!erences among alternative models usually may not surface when applied to short-term options, but do so when applied to longterm contracts. Using S&P 500 options and LEAPS, we "nd that s...
The pervasive intraday periodicity in the return volatility in foreign exchange and equity markets is shown to have a strong impact on the dynamic properties of high frequency returns. Only by taking account of this strong intraday periodicity is it possible to uncover the complex intraday volatility dynamics that exists both within and across different financial markets. The explicit periodic ...
This paper examines volatility spillovers between the stock and currency markets of ten Asian economies in the period 2003 to 2014. To carry out this analysis, a multivariate asymmetric GARCH model is used. In general, our results present evidence of bidirectional volatility spillovers between both markets, independently of the individual country’s level of development. Additionally, our findin...
I use daily futures price data to examine the behavior of natural gas and crude oil price volatility in the U.S. since 1990. I test whether there has been a significant trend in volatility, whether there was a short-term increase in volatility during the time of the Enron collapse, and whether natural gas and crude oil price volatilities are interrelated. I also measure the persistence of shock...
We model elasticity of volatility as a stochastic process with an eye to merge popular constant elasticity of variance (CEV) and stochastic volatility (SV) models in order to understand when it is appropriate to use absolute or relative changes or some intermediate transformation as well as to compare with more traditional autoregressive exponential stochastic volatility formulations. We descri...
Forecasting crude oil price volatility is an important issues in risk management. The historical course of oil price volatility indicates the existence of a cluster pattern. Therefore, GARCH models are used to model and more accurately predict oil price fluctuations. The purpose of this study is to identify the best GARCH model with the best performance in different time horizons. To achieve th...
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