Volatility garch

Part 2 of ebook "Economic and financial modelling with EViews: A guide for students and professionals" provides readers with contents including: Chapter 8 - Modelling volatility in finance and economics - ARCH, GARCH and EGARCH models; Chapter 9 - Limited dependent variable models; Chapter 10 - Vector autoregression (VAR) model; Chapter 11 - Panel data analysis; Chapter 12 - Capital asset pricing model (CAPM);...

139p daonhiennhien 03-07-2024 4 2   Download

Part 2 of ebook "Essentials of time series for financial applications" provides readers with contents including: Chapter 6 - Multivariate GARCH and conditional correlation models; Chapter 7 - Multifactor heteroskedastic models, stochastic volatility; Chapter 8 - Models with breaks, recurrent regime switching, and nonlinearities; Chapter 9 - Markov switching models; Chapter 10 - Realized volatility and covariance;...

189p daonhiennhien 03-07-2024 1 1   Download

This paper explores the spillover effect and trading volume of Financial, Technology, and FinTech Exchange Traded Funds (ETFs) by using ARMA-GARCH model. The study finds significant interconnectedness and interdependencies between these ETF sectors and the stock market index, indicating the transmission of shocks and volatility. Market fluctuations plays a crucial role in influencing the ETF sectors, with negative shocks impacting volatility more prominently.

21p dathienlang1012 03-05-2024 0 0   Download

The aim of this study was to build a price model for premium and medium rice in South Sumatra Province, being a major centre for production in Indonesia. This was estimated using the ARCH/GARCH model, based on the weekly data obtained between March 2016 and July 2019. The results showed the occurrence of price volatility for premium and medium variety, despite the polity implementation by government.

10p longtimenosee06 27-03-2024 3 2   Download

The thesis is structured as follows: Chapter 1: Introduction; Chapter 2: Literature Review; Chapter 3: The Market for Electricity; Chapter 4: Description and Sources of Data; Chapter 5: Seasonal Factors and Outlier Effects in Rate of R; Chapter 6: Structural Characteristics of Demand for Electric; Chapter 7: GARCH Modelling of High-Frequency Volatility in A; Chapter 8: The Effect of Extreme Spikes in Demand on Electric; Chapter 9: Conclusion.

207p runthenight04 02-02-2023 5 1   Download

The study was conducted with the objective of examining the impact of real effective exchange rate volatility on trade balance in Vietnam during the period of 2002 - 2019 at the quarterly frequency. The VAR model was used to achieve the proposed research objective. The volatility of real effective exchange rate (vol_reer) is calculated through the GARCH (1,1) model based on the quarterly data on real effective exchange rate (reer) of the Vietnamese currency with 143 major trading partners of Vietnam.

9p viwendy2711 05-10-2021 27 3   Download

The present study empirically examines the impact of Stock Futures on India’s underlying Energy Sector Stocks by incorporating the Structural breaks in the AR (1)-GARCH (1, 1) model. Although the issues relating to the effect of Derivatives trading on Cash Market Volatility have been empirically discussed in two ways: by evaluating Cash Market Volatilities during the Pre-and Post-Derivatives trading periods and, secondly, by determining the influence of Derivatives trading on the conduct of Cash Markets by comparing it with proxies.

10p mynguyenha 21-07-2021 16 2   Download

In this study, the VAR-GARCH model introduced by Ling and McAleer (2003) was used to determine the interaction between oil prices and stock markets in terms of return and volatility for developing countries (BRICS-T). The reason for choosing this model is to reveal whether the shocks and volatility in these markets have a transitional effect.

6p mynguyenha 21-07-2021 19 2   Download

This study aims to investigate the interactions, volatility spillovers and smooth transition effects between stock and foreign exchange markets in emerging versus developed countries by the Smooth Transition Vector Error Correction-Smooth Transition GARCH with Dynamic Conditional Correlation model (STVESTGARCH-DCC). The empirical results yield several findings. Firstly, boom stock markets in emerging countries will trigger their domestic currency appreciation, while prosperous stock markets in developed countries result in currency depreciation.

33p nguaconbaynhay12 08-06-2021 21 1   Download

Coronavirus (2019-nCoV) not only has an effect on human health but also on economic variables in countries around the world. Coronavirus has an effect on the price of black gold and on its volatility. The shock on all markets is already very strong. Volatility patterns in Brent crude oil simulation are examined during COVID-19 crisis that significantly affected the oil market volatility. The selected crisis of coronavirus arose due to different triggers having diverse implications for oil returns volatility.

12p nguaconbaynhay10 22-02-2021 11 1   Download

This research uses coefficient of variation and volatility analysis with the ARCH GARCH method. Based on the results, the price of food commodities is more volatile after the adoption of the Renewable Fuel Standard 2 (RFS) policy in 2007. The results of the study show that development of biofuels (from corn and soybeans) have a higher level of volatility than the other two commodities (rice and wheat) due to the variance of rice and wheat was lower than corn and soybeans.

12p nguaconbaynhay10 22-02-2021 4 1   Download

In this paper, employ asymmetric multivariate GARCH approaches to examine their performance on the volatility interactions between global crude oil prices and seven major stock market indices. Insofar as volatility spillover across these markets is a crucial element for portfolio diversification and risk management, we also examine the optimal weights and hedge ratios for oil-stock portfolio holdings with respect to the results.

19p nguyenxuankha_bevandan 13-08-2020 25 2   Download

The purpose of this study is to construct the best-fitted model to forecast daily COP as well as to discuss the prepared recommendation for reducing the impact of daily COP movement. Daily COP data are observed for the last decade, i.e., from 2009 to 2018. The finding with the error of less than 0.0001 is AR (1) – GARCH (1,1). The implementation of the model is applicable for both predicting the next 90 days for the COP and its anticipated impact in the future.

6p nguyenxuankha_bevandan 13-08-2020 29 3   Download

The Chinese stock market is unique in which it is moved more by individual retail investors than institutional investors. Therefore, for economic and political stability it is more important to efficiently manage the risk of the Chinese stock market. We investigate its volatility dynamics through the GARCH model with three types of heavy-tailed distributions, the Student’s t, the NIG and the NRIG distributions.

7p nguyenanhtuan_qb 09-07-2020 18 5   Download

This paper explain the stock market volatility at the individual script level and at the aggregate stock price level. The empirical analysis has been done by using Generalised Autoregressive Conditional Heteroscedasticity (GARCH) model.

5p murielnguyen 29-06-2020 28 3   Download

This study an attempt to examine the long-run volatility and causality effects of Sri Lankan (LKR) currency and nine currency of emerging countries in Asia against USD over 17 years i.e., from 01st January, 2002 to 31st December, 2018 by using the Descriptive Statistics (Summary), GARCH (1,1) Model, Correlation and Granger Causality Test.

18p orianahuynh 08-06-2020 22 0   Download

State-space GARCH-M model, Kalman filter estimation, factoradjustment techniques and fractionally integrated models: ARFIMA–FIGARCH, ARFIMA–FIAPARCH and ARFIMA–HYGARCH are adopted for the empirical analysis.

16p nguathienthan5 03-06-2020 10 1   Download

This paper presents an integrated granular framework of wavelet decomposition, DCC-GARCH, ADCC-GARCH, Diks-Panchenko nonlinear Granger’s causality and Diebold-Yilmaz spillover assessment techniques to understand temporal correlation, causal interplay and spillovers among volatile financial time series data exhibiting nonparametric behavior.

14p kelseynguyen 28-05-2020 8 0   Download

This paper studies the volatility of Maersk’s stock return series. Data is collected for the period of more than 16 years, with more than 4000 observations obtained to secure the stability of model estimation. It is worth noticed that the largest volatility occurs during the global finance crisis. The author finds that ARCH effects exist in the series. Thus, GARCH models are employed for further estimation. While GARCH (1,1) helps remove all ARCH effects of the process, TGARCH (1,1) suggests that asymmetric effects exist in the series.

5p quenchua5 17-05-2020 21 0   Download

Agricultural prices variation analysis is essential for the formulation of public policies and business decisions. Considering the strategic importance of olive oil for producers and consumers alike, as well as its potential economic and social benefits, this study aims to quantify the volatility of olive oil prices. The models are estimated using monthly data of olive oil prices (from January 1980 to February 2017) that was collected from IMF statistics. ARCH and GARCH models were used to estimate price volatility.

6p partimesinhvien 13-05-2020 33 0   Download