نتایج جستجو برای: مدل varma mv garch

تعداد نتایج: 146475  

Journal: :Mathematics and Computers in Simulation 2011
Chia-Lin Chang Thanchanok Khamkaew Michael McAleer Roengchai Tansuchat

Asia is presently the most important market for the production and consumption of natural rubber. World prices of rubber are not only subject to changes in demand, but also to speculation regarding future markets. Japan and Singapore are the major futures markets for rubber, while Thailand is one of the world's largest producers of rubber. As rubber prices are influenced by external markets, it...

2010
Chia-Lin Chang Thanchanok Khamkaew Michael McAleer

Asia is presently the most important market for the production and consumption of natural rubber. World prices of rubber are not only subject to changes in demand, but also to speculation regarding future markets. Japan and Singapore are the major futures markets for rubber, while Thailand is one of the world's largest producers of rubber. As rubber prices are influenced by external markets, it...

Journal: :Resources Policy 2022

The paper investigates persistence, returns and volatility spillovers from the bitcoin market to gold silver markets using daily datasets January 2, 2018 July 31, 2020 by employing fractional persistence framework. results show strong price with posing highest while poses lowest persistence. of multivariate GARCH modelling, CCC-VARMA-GARCH model other lower variants indicate impossibility spill...

امروزه پرداختن به مسئله سرریز نوسان در بازارهای مختلف و ارتباط آنها با یکدیگر، به لحاظ استفاده از آن در پیش­بینی شوک ها و بحران ها، موضوع با اهمیتی به شمار می­رود. سرریز نوسان حاکی از فرایند انتقال اطلاعات و بعد از آن جریانات سرمایه ای میان بازارها است. این مقاله به بررسی همبستگی پویای شرطی و سرریز نوسان قیمت نفت بر بازدهی شاخص سهام با استفاده از مدل های گارچ چند متغیره شامل مدل بابا، انگل، کرو...

2006
MASSIMILIANO CAPORIN MICHAEL McALEER Massimiliano Caporin Michael McAleer

DAMGARCH extends the VARMA-GARCH model of Ling and McAleer (2003) by introducing multiple thresholds and time-dependent structure in the asymmetry of the conditional variances. DAMGARCH models the shocks affecting the conditional variances on the basis of an underlying multivariate distribution. It is possible to model explicitly asset-specific shocks and common innovations by partitioning the ...

Journal: :Social Science Research Network 2021

We employ a VARMA DCC-GARCH model to search for portfolio diversification with Bitcoin in global industry portfolios and bond index. find lower dynamic conditional correlations between & index, allowing an investment hedge the risk against bonds. The most effective Bitcoin/industry (bond) is short Utilities sector. Results are robust use of US cryptocurrency index instead Bitcoin, respectively....

2013
Jooyoung Jeon James W. Taylor

Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind power generation. However, most research has focused on point forecasting of wind power. In this paper, we develop an approach to producing dens...

Money supply and velocity of money are important variables that affect inflation and product. Velocity of money is a key concept for economic policy, and it's getting more important since it is closely related to behavior of the demand for money. In this regard, Friedman believes that the volatility of money growth is the main factor of velocity of money, which in monetary economics literature ...

2004
Felix Chan Christine Lim Michael McAleer

International tourism demand, or tourist arrivals, to Australia has recently experienced dramatic fluctuations due to changes in the economic, financial and political environment. However, variations in tourism demand, specifically the conditional variance, or volatility, have not previously been investigated. An analysis of such volatility is essential for investigating the effects of shocks i...

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