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The role of trading volume in forecasting market risk

Slim, Skander - In: Inventi impact: international trade (2016) 3, pp. 169-181

Persistent link: https://www.econbiz.de/10011567980

Overnight news and daily equity trading risk limits

Ahoniemi, Katja; Fuertes, Ana María; Olmo, Jose - In: Journal of financial econometrics : official journal of … 14 (2016) 3, pp. 525-551

Persistent link: https://www.econbiz.de/10011623670

Comparison of semi-parametric and benchmark value-at-risk models in several time periods with different volatility levels

Buczyński, Mateusz; Chlebus, Marcin - In: E-Finanse : finansowy kwartalnik internetowy 14 (2018) 2, pp. 67-82

-GARCH(1,1), CAViaR and historical simulation models in periods with contrasting volatility trends (increasing, constantly high … volatility trend. However, GARCH-st (1,1) and QML-GARCH(1,1) were found to be the most robust models in the different volatility … periods. The results show as well that the CAViaR model forecasts were less appropriate in the increasing volatility period …

Persistent link: https://www.econbiz.de/10011967246

Hedging effectiveness of European wheat futures markets : an application of multivariate GARCH models

Zuppiroli, Marco; Revoredo Giha, César L. - In: International journal of applied management science 8 (2016) 2, pp. 132-148

Persistent link: https://www.econbiz.de/10011636094

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

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

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

Which is Worse : Heavy Tails or Volatility Clusters?

Traut, Joshua; Schadner, Wolfgang - 2023

Heavy tails and volatility clusters are both stylized facts of financial returns that destabilize markets. The former … diversification, and how an acknowledgment of volatility clustering can enhance the quality of risk models. The analysis is carried … risk historically received more attention, especially in financial regulation, our analysis shows that volatility clusters …

Persistent link: https://www.econbiz.de/10014350927

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

Optimale Strategien zum Management von Elektrizitätsrisiken mit Futures : eine empirische Analyse mit multivariaten GARCH-Modellen

Rodt, Marc - 2003 - 1. Aufl.

Seit der zweiten Hälfte der 90er Jahre schreitet die Liberalisierung der europäischen Elektrizitätsmärkte voran. Damit einher geht die Gründung von Handelsplattformen für Elektrizität, an denen überwiegend Erzeuger und Händler agieren. Die Liberalisierung führt einerseits zu...

Persistent link: https://www.econbiz.de/10013433126