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Model risk in risk models : quantifying statistical uncertainty in active risk

Khang, Kevin - In: The journal of portfolio management : JPM 47 (2021) 3, pp. 51-65

Persistent link: https://www.econbiz.de/10012423057

The impact of risk indicators on sustainability (ESG) and broad-based indices : an empirical analysis from Germany, France, Indonesia and Turkey

Öcal, Hüseyin; Kamil, Anton Abdulbasah - In: International journal of sustainable economy : IJSE 13 (2021) 1, pp. 18-54

Persistent link: https://www.econbiz.de/10012533201

Volatility modeling of the JSE all share index and risk estimation using the Bayesian and frequentist approaches

Sigauke, Casto - In: Economics, management and financial markets 11 (2016) 4, pp. 33-48

Persistent link: https://www.econbiz.de/10011868092

Are value at risk and maximum drawdown different from volatility in stock market?

Kim, Soo-Hyun - In: The journal of applied business research 34 (2018) 2, pp. 217-222

Persistent link: https://www.econbiz.de/10011868772

Asymptotic dependence modelling of the BRICS stock markets

Sigauke, Caston; Mukhodobwane, Rosinah; Chagwiza, Wilbert; … - In: International Journal of Financial Studies : open … 10 (2022) 3, pp. 1-32

With the use of empirical data, this paper focuses on solving financial and investment issues involving extremal dependence of 10 pairwise combinations of the 5 BRICS (Brazil, Russia, India, China, and South Africa) stock markets. Daily closing equity indices from 5 January 2010 to 6 August 2018...

Persistent link: https://www.econbiz.de/10013368365

Portfolio volatility spillover

Konstantinov, Gueorgui; Fabozzi, Frank J. - In: International journal of theoretical and applied … 25 (2022) 4/5, pp. 1-39

Persistent link: https://www.econbiz.de/10013371157

A neural network with shared dynamics for multi‐step prediction of value‐at‐risk and volatility

Baştürk, Nalan; Schotman, Peter C.; Schyns, Hugo - 2022

Persistent link: https://www.econbiz.de/10013539142

Empirical testing of models of autoregressive conditional heteroscedasticity used for prediction of the volatility of Bulgarian investment funds

Petrova, Mariana; Todorov, Teodor - In: Risks : open access journal 11 (2023) 11, pp. 1-30

forecasting the daily volatility of Bulgarian investment funds, which will support the investment community in making adequate ….1) are adapted to predict the volatility of investment funds. The current development focuses on forecasting the risk … group. The object of the study includes quantitative analysis, estimation and forecasting of daily volatility through the …

Persistent link: https://www.econbiz.de/10014436423

Are fund managers incentivised to ignore stock market jumps?

Chondrogiannis, Ilias; Freeman, Mark; Vivian, Andrew - In: The European journal of finance 29 (2023) 15, pp. 1793-1823

Persistent link: https://www.econbiz.de/10014388504

Optimising portfolio risk by involving crypto assets in a volatile macroeconomic environment

Bányai, Attila; Tatay, Tibor; Thalmeiner, Gergő; … - In: Risks : open access journal 12 (2024) 4, pp. 1-21

Portfolio diversification is an accepted principle of risk management. When constructing an efficient portfolio, there are a number of asset classes to choose from. Financial innovation is expanding the range of instruments. In addition to traditional commodities and securities, other...

Persistent link: https://www.econbiz.de/10014636496