جستجوی مقالات مرتبط با کلیدواژه « گارچ چند متغیره » در نشریات گروه « مالی »

The purpose of this research study is to predict the default probability of automobile and food industries in the corporate banking portfolio of banks, (not) considering the correlation of default. In this study, 30 companies from the automobile industry and 30 companies from the food industry whose stock market information is available were randomly selected. The market information of these companies was used daily from August 1, 2018 to August 31, 2019 for modeling purposes. The modeling of default probability of companies was done based on estimation of asset value, asset volatility, and drift rate. Multivariable GARCH (MGARCH) model was used to estimate the parameters of CAPM model, which is necessary to predict the drift rate. Through calculating the average default probability of companies in each industry, the probability of default of that industry (without considering the correlation of default) was obtained. Also, the asset value approach was used to calculate the default probability of each industry by considering the default correlation. In the asset value approach, maximum likelihood method was used to estimate default correlation parameters. The results showed that the prediction of the probability of default of the selected industries by considering the correlation of default is more consistent with the actual default.

The purpose of this article is to predict probability of default of 60 corporations with structural Merton model. we used market data of 60 corporations from 2018/08/01 to 2019/09/01 witch are listed in Tehran Stock Exchange For predicting probability of default . to reach this goal we estimated assets value of corporations, volatility of assets and drift rate. We used Capital asset pricing method to estimate expected assets return. Then We used simple regression method and multivariate GARCH (MGARCH) to estimate Beta of corporations. in the end we compute d likelihood function of the average predicted default for each industry and compared the results with actual default rate of that industry in the next year after predicted date. Regarding obtained results of likelihood function probability of default prediction with multivariate GARCH (MGARCH) approach outperform the simple regression model, therefore we recommend using the MGARCH approach for its better prediction performance.

The present study investigates the prevalence of parallel capital market revolts on stock exchange trading industries. In this study, the overflow of stock exchange industries has been measured separately for export and import-oriented parallel markets of currency and gold. In this regard, the autoregressive vector analysis (VAR) method and the autoregressive model conditional on the heterogeneity of multivariate generalized variances (MGARCH) have been used. The data of this research have been collected and tested using Eviews software from the beginning of September 2015 to the end of August 2016. The method of the present study is based on the classification of research based on the method, nature and direction of descriptive, applied and post-event, respectively, and is considered as a correlation in terms of type.The results of this study confirm the relationship between the effect of the overflow of export-oriented stock exchange industries from the parallel foreign exchange market; However, the research results of this overflow have not been confirmed by the parallel gold market. In this regard, the effect of the overflow of import-oriented industries from the parallel markets of currency and gold has not been confirmed. The side findings of the present study also show that there was a positive and two-way relationship between the two markets of currency and gold in the period under study.

Bank deposits are a very important resource for banks, which, if accompanied by weak investments or fuel facilities, will cause many problems for financial institutions. One way to combat the burning of deposits is to insure them. The present study seeks to provide a model that can measure the risk of the banking industry in proportion to the price of premiums. And it uses risk-based modeling. This modeling uses multivariate GARCH models, which can lead to more accurate pricing of deposit premiums. To determine the factors affecting premiums and determine their relationship, the information of active banks of Tehran Stock Exchange between 1393 and 1397 has been used. Using Blacksholes, Merton Blacksholes, Merton Blacksholes models with systematic risk and Merton Blacksholes models using multivariate GARCH modeling, premium pricing has been done. According to the results obtained from the estimation of regression equations, it was found that the premium received by the Deposit Guarantee Fund was not due to the systemic risk of the banking network and it seems better that the value of the deposit premium is considered considering the risk. Be banking. In this regard, and according to the estimated models, the systemic risk of the banking network better considers the calculated value of the premium by considering the multivariate Garchi model.

The present study attempts to investigate the turbulence of parallel markets of capital markets on stocks of Bourse banks. In this study, the visibility of bank metals has been measured separately from parallel markets of foreign currency and gold, as well as oil market as an independent market. In this regard, the method of self-regression vector analysis (VAR) and self-regression model are used to determine the heterogeneity of generalized multivariate variances (MGARCH). The data of this research have been compiled using Eviews software from the beginning of July 2012 to the end of September 2012 and tested. The method of this research is based on the classification of research based on the method, nature and direction are descriptive, applied and post-event respectively, and are considered as a correlation in terms of type. The results of this study confirm the relationship between the impact of bourse banks on parallel markets of currency, gold and oil. Accordingly, the main assumptions of the research that the stock markets of stock exchanges in the capital market are affected by parallel markets is maintained from two perspectives of return and risk.

Investors often aim to reduce the risks associated with traditional assets such as investing in equities. The risk of stock price volatility is one of the concerns that always active investors are trying to manage it. Therefore, this research tries to investigate the effectiveness of the hedging stock price volatility methods and its diversification using the gold coin futures. In this study, using monthly data on stock index returns and gold coin future returns between 2008 and 2018, we compare the result’s effectiveness of dynamic hedge ratios using multivariate generalized auto- regressive heteroskedasticity (BEKK-GARCH) and recursive ordinary least square (OLS) methods. The results indicate that the use of the gold coin future is suitable instrument to hedging stock portfolio and the multivariate GARCH method is more effective than the rolling regression method in 5 conditional effectiveness indices, including percentage reduction in variance, percentage reduction in semi-variance, percentage reduction in hedged losses, percentage increase in portfolio excess returns and percentage increase in positive returns.

The present study investigates the volatility of parallel markets of capital markets on stocks of Bourse's banks. In this study, the visibility of bank libraries has been measured separately from parallel markets of foreign exchange and gold, as well as the oil market as an influential independent market. In this regard, the method of Vector Auto Regression Model (VAR) and self-regression model is used to predict the heterogeneity of generalized multivariate variances (MGARCH). The data from the beginning of July 2012 to the end of September 2018 were collected and tested. The method of this research is based on the classification of research based on the method, nature and direction are descriptive, applied and post-event respectively, and are correlated in terms of type. The results of this study confirm the relationship between the impact of bourse banks on parallel markets of currency, gold and oil. Based on this, the main hypotheses of the research that the stock markets of stock exchanges are active in the capital market from parallel markets is maintained from two perspectives of return and risk. Finally, in this study, the estimated model, which relates to the daily returns of gold and foreign exchange markets on the returns of the total stock market index, has been conceptually and mathematically explained as the best estimator of the effects of cross-market contagion. Therefore, the results of testing the research hypotheses over the time period under study confirm that the contagion effects of contingent volatility of the yields of banks admitted to the stock market by the MGARCH model are predictable.

Economy condition and equity market could highly affect on risk aversion and equity premium. This paper therefore, intends to combine economy regimes and equity market in the framework of Sensitivity functions by using fuzzy variables in order to develop the Consumption Capital Asset Pricing in habit formation model. This model through the producing some extra resources for risk premium will be differently a help to resolve equity premium puzzle.
The results, gathered from using the model in Iran data seasonally in the period 1371-1393, present that the trend in risk aversion and equity premium is counter-cyclically of economic. Indeed the period of recession will make an increase in risk aversion and equity premium consequently. This means that investors are intended to take risk only in lieu of high level of compensation and they also intend to allocate their funds into more certain fields such as bank deposits in this situation .While good news in the period of boom in economy will decrease risk aversion and equity premium consequently. Results also present that the increasing and decreasing regimes of market in combination with economic regimes have effect on the intensity of these phenomena.

This paper attempts to Expression and design a model to forecast the exchange rate shocks and stress testing of the currency in Iran . In other words, what factors influence the currency shock and is there the shock predictability in the currency market. On the other hand, are there in critical condition (shock) the ability to predict currency risk through stress tests? The research method is descriptive-analytic and data collection library using econometric regression model using econometric software Eviews is carried out. The research is method in this study (time series modeling) . The results suggest that based on estimations made clear that the exchange rate shock predictable feature of the model is capable MGARCH. . In other words, using multivariate GARCH model and Conditional value at risk predictability of the exchange rate shock and influence the variable of Macroeconomic variables has been clarified. Finally, using the Back Testing the validity and effectiveness model was estimated and validation tests with stress tests to estimate the shock has been in critical condition.

This paper evaluates simultaneously the effect of alterations in economic regime together with financial regime on equity premium puzzle seasonally in the period 1371-1393. A combinational model including Bivariate GARCH and Fuzzy dummy variable with Consumption Capital Asset Pricing model (CCAPM-F) is used in order to achieve to this goal. Results present the risk aversion coefficient is maximum when there is the recession in both market stock and economy, which means the investors are intended to take risk only in lieu of high level of compensation and they also intend to allocate their funds into more certain fields such as bank deposits in this situation. Finally, regime of economic recession is generally associated with higher levels of risk aversion.

This research is about Spillover Effect The On Contest Import & Export oriented industries. So the Import & Export oriented industries spillover from parallel markets (currency and gold) has been evaluated. For this purpose 2 methods, VAR and MGARCH were applied. Daily data (from october 2007 to August 2013) and examined using Eviews software. In aspect of model representation, this research is a development research and in aspect of method and nature is correlation. Results confirm spillover of Export oriented industries from currency. In other word main research hypothesis that explains Export oriented industries is affected from parallel markets, but This Results don’t confirm spillover of Export oriented industries from gold market, finally other Results don’t confirm spillover import oriented industries from currency and gold market. Side result of research demonstrates a positive and bilateral relation between currency and gold market in research period.

This research is about effect of volatility spillover in Iran capital market. So the Iran capital market spillover from parallel markets (currency and gold) and oil market as an effective independent market has been evaluated. For this purpose 2 methods, VAR and MGARCH were applied. Daily data (from November 2011 to August 2013) and weekly data (from April 2003 to August 2013) were gathered and examined using Eviews software. In aspect of model representation, this research is a development research and in aspect of method and nature is correlation.
Results confirm spillover of capital market from currency, gold and oil market. In other word main research hypothesis that explains capital market is affected from parallel markets in two aspects of risk and return, remained. Side result of research demonstrates a positive and bilateral relation between currency and gold market in research period. Also this is obtained that the best proxy for evaluating of Iran capital market spilloveris TEDPIX. Finally the model that explains effect of daily return of currency and gold market on return of TEDPIX was detected as the best conceptual and mathematical estimator of intermarket spillover effects.

This paper uses a multivariate GARCH model to simultaneously estimate the mean and conditional variance using daily returns among different Tehran sector indexes from Tir 1386 to Tir 1391. Since different financial assets are traded based on these sector indexes, it is important for financial market participants to understand the volatility transmission mechanism over time and across sectors in order to make optimal portfolio allocation decisions. Results show significant transmission of shocks and volatility among different sectors. These findings support the idea of cross-market hedging and sharing of common information by investors in these sectors.

This paper using a Multivariate Generalized Autoregressive Conditional Hetroscedasticity (MGARCH) model has examined the nature of interaction between Iran, USA, Turkey and Malaysia Stock Markets. The results based on weekly data spanning from October 1997 to March 2010 indicate there are no significant effects between stock market in Iran and the other stock markets. Given a low degree of common time-varying co-volatility among these four countries, investors will be highly likely to benefit reduction of risk if they diversify their financial portfolio with stocks from these four countries.