The importance of being informed: Forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades PDF Download
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Author: Dean Fantazzini
Publisher: Litres
ISBN: 5042017135
Category : Computers
Languages : en
Pages : 27
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Book Description
This paper focuses on the forecasting of market risk measures for the Russian RTS index future, and examines whether augmenting a large class of volatility models with implied volatility and Google Trends data improves the quality of the estimated risk measures. We considered a time sample of daily data from 2006 till 2019, which includes several episodes of large-scale turbulence in the Russian future market. We found that the predictive power of several models did not increase if these two variables were added, but actually decreased.The worst results were obtained when these two variables were added jointly and during periods of high volatility, when parameters estimates became very unstable. Moreover, several models augmented with these variables did not reach numerical convergence. Our empirical evidence shows that, in the case of Russian future markets, TGARCH models with implied volatility and Student’s t errors are better choices if robust market risk measures are of concern.
Author: Dean Fantazzini
Publisher: Litres
ISBN: 5042017135
Category : Computers
Languages : en
Pages : 27
Get Book Here
Book Description
This paper focuses on the forecasting of market risk measures for the Russian RTS index future, and examines whether augmenting a large class of volatility models with implied volatility and Google Trends data improves the quality of the estimated risk measures. We considered a time sample of daily data from 2006 till 2019, which includes several episodes of large-scale turbulence in the Russian future market. We found that the predictive power of several models did not increase if these two variables were added, but actually decreased.The worst results were obtained when these two variables were added jointly and during periods of high volatility, when parameters estimates became very unstable. Moreover, several models augmented with these variables did not reach numerical convergence. Our empirical evidence shows that, in the case of Russian future markets, TGARCH models with implied volatility and Student’s t errors are better choices if robust market risk measures are of concern.
Author: Alexander M. Karminsky
Publisher: Springer Nature
ISBN: 3030697487
Category : Business & Economics
Languages : en
Pages : 395
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Book Description
This book describes various approaches in modelling financial risks and compiling ratings. Focusing on emerging markets, it illustrates how risk assessment is performed and analyses the use of machine learning methods for financial risk assessment and measurement. It not only offers readers insights into the differences between emerging and developed markets, but also helps them understand the development of risk management approaches for banks. Highlighting current problems connected with the evaluation and modelling of financial risks in the banking sector of emerging markets, the book presents the methodologies applied to credit and market financial risks and integrated and payment risks, and discusses the outcomes. In addition it explores the systemic risks and innovations in banking and risk management by analyzing the features of risk measurement in emerging countries. Lastly, it demonstrates the aggregation of approaches to financial risk for emerging financial markets, comparing the experiences of various countries, including Russia, Belarus, China and Brazil.
Author: Dean Fantazzini
Publisher: Litres
ISBN: 5042017135
Category : Computers
Languages : en
Pages : 27
Get Book Here
Book Description
This paper focuses on the forecasting of market risk measures for the Russian RTS index future, and examines whether augmenting a large class of volatility models with implied volatility and Google Trends data improves the quality of the estimated risk measures. We considered a time sample of daily data from 2006 till 2019, which includes several episodes of large-scale turbulence in the Russian future market. We found that the predictive power of several models did not increase if these two variables were added, but actually decreased.The worst results were obtained when these two variables were added jointly and during periods of high volatility, when parameters estimates became very unstable. Moreover, several models augmented with these variables did not reach numerical convergence. Our empirical evidence shows that, in the case of Russian future markets, TGARCH models with implied volatility and Student’s t errors are better choices if robust market risk measures are of concern.
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 630
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Book Description
Author: International Monetary Fund. Monetary and Capital Markets Department
Publisher: International Monetary Fund
ISBN: 1513506773
Category : Business & Economics
Languages : en
Pages : 135
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Book Description
The current Global Financial Stability Report (April 2016) finds that global financial stability risks have risen since the last report in October 2015. The new report finds that the outlook has deteriorated in advanced economies because of heightened uncertainty and setbacks to growth and confidence, while declines in oil and commodity prices and slower growth have kept risks elevated in emerging markets. These developments have tightened financial conditions, reduced risk appetite, raised credit risks, and stymied balance sheet repair. A broad-based policy response is needed to secure financial stability. Advanced economies must deal with crisis legacy issues, emerging markets need to bolster their resilience to global headwinds, and the resilience of market liquidity should be enhanced. The report also examines financial spillovers from emerging market economies and finds that they have risen substantially. This implies that when assessing macro-financial conditions, policymakers may need to increasingly take into account economic developments in emerging market economies. Finally, the report assesses changes in the systemic importance of insurers, finding that across advanced economies the contribution of life insurers to systemic risk has increased in recent years. The results suggest that supervisors and regulators should take a more macroprudential approach to the sector.
Author:
Publisher:
ISBN:
Category : Risk management
Languages : en
Pages : 448
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Book Description
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 9781557758521
Category : Business & Economics
Languages : en
Pages : 226
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Book Description
Following a review and assessment of recent developments in capital market and banking systems, this year's International Capital Markets report reviews and assesses recent developments in mature and emerging financial markets and continues the analysis of key issues affecting global financial markets. It examines the systemic implications of the continued rapid development of the global over-the-counter derivatives markets and the expansion of foreign-owned banks into emerging markets. The report also analyzes market participants' assessments of the proposals for private sector involvement in the prevention and resolution crises.
Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 1432
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Book Description
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 1842
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Book Description
Author:
Publisher:
ISBN:
Category : Capital market
Languages : en
Pages : 224
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Book Description
