نتایج جستجو برای: autoregressive conditional heteroskedasticity arch

تعداد نتایج: 93550  

This study examines the impacts of real exchange rate fluctuations on the companies' strategic investments in Iran. The data of 92 listed companies in Tehran Stock Exchange during the period of 2002-2015areused. First, the volatility of exchange rate is estimated by the Generalized Autoregressive Conditional Heteroskedasticity (GARCH). The model is estimated by GMM and system GMM methods. The r...

ژورنال: تحقیقات اقتصادی 2016

از مهم ترین عوامل تأثیرگذار بر تجارت هر کشور نرخ ارز و درآمد ملی کشورهای طرف تجاری است. با توجه به روابط اقتصادی و سیاسی ایران و ونزوئلا طی سالیان اخیر، هدف مقالة حاضر، بررسی تأثیر نوسانات نرخ ارز بر صادرات ایران به ونزوئلا می‌باشد. داده‌های مورد استفاده در این مطالعه، داده‌های سالانه برای سال‌های 1362تا 1392می‌باشد. در این پژوهش، متغیّر نوسانات نرخ ارز از جزء اخلال‌های مدل گارچ[1] (GARCH) محاسب...

2011
Xin Zhang Drew Creal Siem Jan Koopman André Lucas

We propose a new model for dynamic volatilities and correlations of skewed and heavytailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the skewed and fat-tailed shape of the distribution directly affects the dynamic behavior of the time-varyin...

2012
Gani Aldashev Vincenzo Verardi Thierry Verdier Romain Houssa

This paper studies the causal e¤ect of aid volatility on the economic performance of developing countries in 2000-2009 period. We construct a time-varying measure of aid volatility using autoregressive conditional heteroskedasticity (ARCH). We control for the endogeneity of aid ‡ows by using as instruments for aid volatility three characteristics of donor counitres: (i) their budget de…cits ; (...

The purpose of current paper is to survey the asymmetric effects of inflation's positive and negative shocks on inflation uncertainty in short-run and long-run. For this end, first, the Ball model (1992) has been extended through the decomposition of inflation shocks to money demand's positive and negative shocks and money supply's positive and negative shocks. Then, through using nonlinear aut...

2002
Òscar Jordà Massimiliano Marcellino

This paper shows that high-frequency, irregularly-spaced, FX data can generate non-normality, conditional heteroskedasticity, and leptokurtosis when aggregated into fixed-interval, calendar time even when these features are absent in the original D.G.P. Furthermore, we introduce a new approach to modeling these high-frequency irregularly spaced data based on the Poisson regression model. The ne...

2016
Balázs Csanád Csáji

A standard model of (conditional) heteroscedasticity, i.e., the phenomenon that the variance of a process changes over time, is the Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) model, which is especially important for economics and finance. GARCH models are typically estimated by the Quasi-Maximum Likelihood (QML) method, which works under mild statistical assumptions. Here...

2004
Jasslyn Yeo

In recent decades, the momentum of global environmental protection has culminated in the Kyoto Agreement of 1998, placing the limelight on “green” issues. This paper argues that the protection of environmental systems involves a fragile balance between the costs of environment preservation and the profit motivations of industrialists. In particular, one of the issues that needs to be addressed ...

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