Results 21 to 30 of about 50,421 (106)

Tail Risk in the Chinese Vegetable Oil Market: Based on the EGAS‐EVT Model

open access: yesDiscrete Dynamics in Nature and Society, Volume 2022, Issue 1, 2022., 2022
This paper uses extreme value theory and exponential generalised autoregressive score models to estimate the tail extremes of financial return series. The peak‐over‐threshold method based on the generalised pareto distribution is combined with the EGAS models and the nonparametric quantile method is used to determine the thresholds in the POT method ...
Yueqiang Zhang   +4 more
wiley   +1 more source

Internet Financial Risk Model Evaluation and Control Decision Based on Big Data

open access: yesWireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
Internet finance is the application of advanced information technology to traditional finance. Internet finance is accelerating its growth, and its performance is most obvious in the financial market. The Internet financial reduces costs of traditional financial, which makes it more civilian. The unstable factors of Internet finance, such as regulation,
Liancheng Chen, Rong Jiang, Chia-Huei Wu
wiley   +1 more source

Empirical Safety Stock Estimation Using GARCH Model, Historical Simulation, and Extreme Value Theory: A Comparative Study

open access: yesApplied Sciences, 2022
Safety stock (SS) is an appropriate tactic to deal with demand and supply uncertainty with the aim of preventing inventory shortages. In the literature, previous work on SS estimation assumes that the forecast error distributions (FED) are independent ...
Mouna Derbel   +2 more
doaj   +1 more source

Option Volatility Investment Strategy: The Combination of Neural Network and Classical Volatility Prediction Model

open access: yesDiscrete Dynamics in Nature and Society, Volume 2022, Issue 1, 2022., 2022
This study focuses on the volatility prediction and option volatility investment. By investigating the traditional Volatility Prediction Model and machine learning algorithms, this study tries to merge these two aspects together. This work setup a bridge of previous financial studies and machine learning studies by proposing an algorithm integrating ...
Yuanyang Teng   +3 more
wiley   +1 more source

Estimating of value at risk and expected shortfall by using conditional extreme value approach in Tehran Securities Exchange [PDF]

open access: yesتحقیقات مالی, 2016
This paper investigates the relative performance of Value-at-Risk (VaR) and expected shortfall (ES) models using daily overall index data from TSE for a period of 8 years from 2008 to 2016.
Alireza Saranj, Marziyeh Nourahmadii
doaj   +1 more source

Assessing liquidity‐adjusted risk forecasts

open access: yesJournal of Forecasting, Volume 40, Issue 7, Page 1179-1189, November 2021., 2021
Abstract In this paper, we provide a thorough study on the relevance of liquidity‐adjusted value‐at‐risk (LVaR) and expected shortfall (LES) forecasts. We measure additional liquidity of an asset via the difference between its respective bid and ask prices and we assess the non‐normality of bid–ask spreads, especially in turbulent market times.
Theo Berger, Christina Uffmann
wiley   +1 more source

Extreme Value Theory and Value at Risk: Application to OPEC Market [PDF]

open access: yesPizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2019
Regarding the role of the energy market, especially oil, on the economy of countries, it is important to identify the future evolution of the market. In this respect, predicting the changeable extreme evolution of the oil price is crucial for decision ...
mahtab mehrasa, Teymour Mohamadi
doaj   +1 more source

Spatially Inhomogeneous Evolutionary Games

open access: yesCommunications on Pure and Applied Mathematics, Volume 74, Issue 7, Page 1353-1402, July 2021., 2021
Abstract We introduce and study a mean‐field model for a system of spatially distributed players interacting through an evolutionary game driven by a replicator dynamics. Strategies evolve by a replicator dynamics influenced by the position and the interaction between different players and return a feedback on the velocity field guiding their motion ...
Luigi Ambrosio   +3 more
wiley   +1 more source

Interest rate risk of Chinese commercial banks based on the GARCH-EVT model

open access: yesHumanities & Social Sciences Communications, 2023
Interest rate market risk faced by China’s commercial banks is increasing after the announcement that the interest rate marketisation is completed. This paper examines the Value-at-Risk, and statistical properties in the daily price return of Shanghai ...
Xin Chen   +4 more
doaj   +1 more source

Quantifying Foreign Exchange Risk in the Selected Listed Sectors of the Johannesburg Stock Exchange: An SV-EVT Pairwise Copula Approach

open access: yesInternational Journal of Financial Studies, 2022
This paper attempted to apply an EVT-based pairwise copula method for modelling risk interaction between foreign exchange rates and equity indices of the Johannesburg Stock Exchange (JSE) and to model the dependence structure of the underlying assets ...
Joel Hinaunye Eita   +1 more
doaj   +1 more source

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