نتایج جستجو برای: ardl cecm model jel classification c32

تعداد نتایج: 2505102  

2014
Kirstin Hubrich Robert J. Tetlow

Included here are two appendices. Appendix A has information on model priors, selected material on the data, and some details on computation. Appendix B contains an extended treatment of alternative measures of stress, and alternative measures of real activity, including how these measures compare to the base case model in terms of picking up the same state probabilities and, in some cases, qua...

2017

7 Article history: 8 Received 15 November 2012 9 Received in revised form 25 January 2013 10 Accepted 29 January 2013 11 Available online xxxx 1234 15 JEL classification: 16 C15 17 C32 18 G13 19 G15 20

ژورنال: :علوم اقتصادی 2015
مهدی یزدانی طاهره نور افروز

نوسان­ها و تغییر قیمت نفت بر متغیرهای کلان اقتصادی در کشورهای جهان تأثیر گذاشته و اقتصاد کشورها را با چالشی جدی روبرو کرده است.این عامل موجب شده تا آن ها برای در امان ماندن از تأثیرهای منفی ناشی از این شوک ها، تدابیر مختلفی بیندیشند. همچنین بی­ثباتی بازار نفت، برنامه ریزی و سیاست گذاری بلندمدت بر اساس درآمدهای نفتی در کشورهای صادرکننده نفت را ناممکن خواهد ساخت. هدف این مطالعه بررسی اثر نوسان ها...

2007
Konstantinos Theodoridis

This Paper describes a procedure for constructing theory restricted prior distributions for BVAR models. The Bayes Factor, which is obtained without any additional computational effort, can be used to assess the plausibility of the restrictions imposed on the VAR parameter vector by competing DSGE models. In other words, it is possible to rank the amount of abstraction implied by each DSGE mode...

2011
Dominik Wied

The paper suggests a CUSUM-type test for time-varying parameters in a recently proposed spatial autoregressive model for stock returns and derives its asymptotic null distribution as well as local power properties. As can be seen from Euro Stoxx 50 returns, a combination of spatial modelling and change point tests allows for superior risk forecasts in portfolio management. JEL Classification: C...

1999
Blake LeBaron

Recent evidence has shown possible scaling and self-similarity in high frequency financial time series. This paper demonstrates that many of these graphical scaling results could have been generated by a simple stochastic volatility model. This casts doubt on the power of these tests to discern between true scaling and simple highly dependent stochastic processes. JEL Classification: C32, G12 ∗...

2008

We develop a multivariate generalization of the Markov–switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth– moment structure. An application to international stock markets illustrates the relevance of accounting for volatility regimes from both a statistical and economic perspective, including out–of–sample portfolio selection and computation of Value– ...

1999
Yeung Lewis Chan James H. Stock Mark W. Watson John F. Kennedy

A panel of ex-ante forecasts of a single time series is modeled as a dynamic factor model, where the conditional expectation is the single unobserved factor. When applied to out-of-sample forecasting, this leads to combination forecasts that are based on methods other than OLS. These methods perform well in a Monte Carlo experiment. These methods are evaluated empirically in a panel of simulate...

Journal: :International Journal of Energy Economics and Policy 2021

The study examines the asymmetric effect of oil price on exchange rate and stock using Nonlinear Autoregressive Distributive Lag (NARDL) technique time-series data spanning from January 1996 to September 2020. multivariate cointegration test showed evidence a long-run relationship among price, rate, price. linear Granger causality that is granger caused by cause rate. nonlinear nonlinearity BDS...

2010
Mario Forni Luca Gambetti

We study the effects of government spending by using a structural, large dimensional, dynamic factor model. We find that the government spending shock is non-fundamental for the variables commonly used in the structural VAR literature, so that its impulse response functions cannot be consistently estimated by means of a VAR. Government spending raises both consumption and investment, with no ev...

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