دانلود ترجمه مقاله مشتقات مالی و مدیریت ریسک – مجله الزویر

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عنوان فارسی مقاله:

مدیریت ریسک و مشتقات مالی: مرور کلی

عنوان انگلیسی مقاله:

Risk management and financial derivatives: An overview

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مشخصات مقاله انگلیسی (PDF)
سال انتشار  ۲۰۱۲
تعداد صفحات مقاله انگلیسی  ۷ صفحه با فرمت pdf
رشته های مرتبط با این مقاله  مدیریت، حسابداری و اقتصاد
گرایش های مرتبط با این مقاله  مدیریت مالی
مجله  اقتصاد و دارایی آمریکای شمالی( North American Journal of Economics and Finance)
دانشگاه  گروه اقتصاد، دانشگاه درکسلایالات متحده آمریکا
کلمات کلیدی  مدیریت ریسک، سبد مطلوب، مشتقات مالی، اقتصاد مالی، گزینه، آینده، نوسانات، سرریزها، توقف، پیش فرض، اجرت ریسک، تکرار ادعاها
شناسه شاپا یا ISSN ISSN ۱۰۶۲-۹۴۰۸
لینک مقاله در سایت مرجع لینک این مقاله در سایت ساینس دایرکت
نشریه الزویر Elsevier

 

 

 


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 چکیده
۱ مقدمه
۲ نگاه کلی
۳ ملاحضات نهایی


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امید می رود که  مقالات جالب، ارزشمند و جدید در این جلد خاص سایرین را به انجام تحقیقات در طیف وسیعی از زمینه های مربوط به توسعه مدیریت ریسک  و مشتقات مالی ترغیب کنند. در اولین مقاله، همبستگی شرطی و مازاد فراریت بین  نرخ بازده  شاخص سهام و نفت خام، چیا لین چانگ،میشاییل مک الیر و  رونگاچی تانسوچت، به بررسی به بررسی همبستگی شرطی و مازاد فراریت بین نفت خام و بازار های مالی بر اساس  نرخ بازده نفت خام و شاخص سهام پرداختند.


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Introduction Risk management is crucial for optimal portfolio management. One of the fastest growing areas in empirical finance is the expansion of financial derivatives. While some of the key issues underlying risk and portfolio management are reasonably well understood, many of the technical and empirical issues underlying the creation and movements in financial derivatives are less well understood. The purpose of this special issue on “Risk Management and Financial Derivatives” is to highlight some areas in which novel econometric, financial econometric and empirical finance methods have contributed significantly to the analysis of risk management, with an emphasis on financial derivatives, specifically conditional correlations and volatility spillovers between crude oil and stock index returns (Chang, McAleer, & Tansuchat, in this issue-b), pricing exotic options using the Wang transform (Labuschagne & Offwood, in this issue), the rise and fall of S&P500 variance futures (Chang, Jimenez-Martin, McAleer, & Perez-Amaral, in this issue-a), predicting volatility using Markov switching multifractal model: evidence from S&P100 index and equity options (Chuang, Huang, & Lin, in this issue), the performance of commodity trading advisors: a mean-variance-ratio test approach (Bai, Phoon, Wang, & Wong, in this issue), forecasting volatility via stock return, range, trading volume and spillover effects: the case of Brazil (Asai & Brugal, in this issue), estimating and simulating Weibull models of risk or price durations: an application to ACD models (Allen, Ng, & Peiris, in this issue), valuation of double trigger catastrophe options with counterparty risk (Jiang, Yang, Liu, & Wang, in this issue), day of the week effect on the VIX – a parsimonious representation (Gonzalez-Perez & Guerrero, in this issue), equity and CDS sector indices: dynamic models and risk hedging (Caporin, in this issue), the probability of default in collateralized credit operations (Divino & Rocha, in this issue), risk premia in multi-national enterprises (Lutz, in this issue), solving claims replication problems in a complete market by orthogonal series expansion (Dong & Gao, in this issue), downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks (Hammoudeh, Araujo-Santos, & AlHassan, in this issue), and implied Sharpe ratios of portfolios with options: application to Nikkeifutures and listed options (Akuzawa & Nishiyama, in this issue). Itis our hope thatthe interesting, invaluable and innovative papers in this special issue will encourage others to undertake research in a variety of challenging areas associated with the exciting and rapidly expanding areas of risk management and financial derivatives. 2. Overview In the first paper, “Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns”, Chia-Lin Chang (National Chung Hsing University, Taiwan), Michael McAleer (Erasmus University Rotterdam, The Netherlands) and Roengchai Tansuchat (Maejo University, Thailand) investigate the conditional correlations and volatility spillovers between the crude oil and financial markets, based on crude oil returns and stock index returns. Daily returns from January 2, 1998 to November 4, 2009 of the crude oil spot, forward and futures prices from the WTI and Brent markets, and the FTSE100, NYSE, Dow Jones and S&P500 stock index returns, are analyzed using Bollerslev’s CCC model, Ling and McAleer’s VARMA-GARCH model, McAleer, Hoti and Chan’s VARMA-AGARCH model, and Engle’s DCC model. Based on the CCC model, the estimates of conditional correlations for returns across markets are very low, and some are not statistically significant, which means the conditional shocks are correlated only in the same market and not across markets. However, the DCC estimates of the conditional correlations are always significant. This result makes it clear that the assumption of constant conditional correlations is not supported empirically. Surprisingly, the empirical results from the VARMA-GARCH and VARMA-AGARCH models provide little evidence of volatility spillovers between the crude oil and financial markets. The evidence of asymmetric effects of negative and positive shocks of equal magnitude on the conditional variances suggests that VARMA-AGARCH is superior to VARMA-GARCH and CCC. The estimation and analysis of the volatility and conditional correlations between crude oil returns and stock index returns can provide useful information for investors, oil traders and government agencies that are concerned with the crude oil and stock markets, especially regarding optimal hedging across the two markets. As the second paper, Coenraad Labuschagne (University of the Witwatersrand, South Africa) and Theresa Offwood (University of the Witwatersrand, South Africa) analyze the theoretical and practical issue of “Pricing Exotic Options Using the Wang Transform”. The Wang transform allows for a simple, yet intuitive approach to pricing options with underlying based on geometric Brownian motion. The authors show how the approach by Hamada and Sherris (2003) can be used to price some exotic options. Examples are given to show the convergence of the Wang price to the Black-Scholes price for a Margrabe option, a geometric basket option and an asset-or-nothing option. The authors also examine the range of prices that is achievable using the Wang transform for these options. Chia-Lin Chang (National Chung Hsing University, Taiwan), Juan-Angel Jimenez-Martin (Complutense University of Madrid, Spain), Michael McAleer (Erasmus University Rotterdam, The Netherlands) and Teodosio Perez-Amaral (Complutense University of Madrid, Spain) analyze “The Rise and Fall of S&P500 Variance Futures” in the third paper.


 

دانلود رایگان مقاله انگلیسی + خرید ترجمه فارسی

 

عنوان فارسی مقاله:

مدیریت ریسک و مشتقات مالی: مرور کلی

عنوان انگلیسی مقاله:

Risk management and financial derivatives: An overview

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