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Impulse response functions for the US 1983-2012

Impulse Response Functions

Impulse Response Functions

... When you have solved for the policy functions then it is trivial to get the IRFs by simply giving the system a one standard deviation shock and iterating on the policy functions.. Shocks[r] ...

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Integration at a cost: Evidence from volatility impulse response functions

Integration at a cost: Evidence from volatility impulse response functions

... standard Impulse Response analysis and conduct Variance Decompositions in order to determine how a shock to one market influences the dynamic adjustment of volatility in the remaining markets and the ...

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Integration at cost: Evidence from volatility impulse response functions

Integration at cost: Evidence from volatility impulse response functions

... standard Impulse Response analysis and conduct Variance Decompositions in order to determine how a shock to one market influences the dynamic adjustment of volatility in the remaining markets and the ...

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Balanced bootstrap joint confidence bands for structural impulse response functions

Balanced bootstrap joint confidence bands for structural impulse response functions

... structural impulse response functions Bruder, Stefan ; Wolf, Michael Abstract: Constructing joint confidence bands for structural impulse response functions based on a VAR model ...

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Regime-dependent impulse response functions in a Markov-switching vector autoregression model

Regime-dependent impulse response functions in a Markov-switching vector autoregression model

... of impulse responses for each Markov regime to show how fundamental disturbances affect the variables in the model GHSHQGHQW on the ...dependent impulse response functions in a model of the ...

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Variation in emission metrics due to variation in CO2 and temperature impulse response functions

Variation in emission metrics due to variation in CO2 and temperature impulse response functions

... The gradual evolution and short length of the CO 2 emission scenario in C 4 MIP makes it difficult to uniquely determine the IRF CO 2 . Thus, most significance should be placed on the J13 results. The CMIP5 experiment ...

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Volatility transmission and volatility impulse response functions in European electricity forward markets

Volatility transmission and volatility impulse response functions in European electricity forward markets

... Among main references for univariate analysis, is Hadsell et al. (2004) whose specification resorts to the TARCH model of Zako¨ıan (1994) for the modelling of five US spot prices quoted on the NYMEX between 1996 ...

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Volatility transmission and volatility impulse response functions in European electricity forward markets.

Volatility transmission and volatility impulse response functions in European electricity forward markets.

... Volatility impulse response function of forward base returns in t 2 = 07/10/03 for a forecast horizon h = ...an impulse response analysis. Whereas impulse response analysis has ...

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Small Sample Confidence Intervals for Multivariate Impulse Response Functions at Long Horizons

Small Sample Confidence Intervals for Multivariate Impulse Response Functions at Long Horizons

... in first differences (dotted line with stars). Some interesting results emerge. The confidence bands for VARs in first differences show more persistent effects than those based on VARs in levels, as intuition may suggest. ...

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Bootstrapping Structural VARs: Avoiding a Potential Bias in Confidence Intervals for Impulse Response Functions

Bootstrapping Structural VARs: Avoiding a Potential Bias in Confidence Intervals for Impulse Response Functions

... Since part of the distortion in the CEE results is a consequence of their choice to use MLE estimates of the error covariance matrix, we also illustrate how much distortion remains when we use OLS estimates. The results ...

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Impulse response identification in DSGE models

Impulse response identification in DSGE models

... 5 Conclusion This paper has shown that the SVAR identification methodology developed by Rubio-Ramirez, Waggoner and Zha (2008) can be applied to DSGE models with unobservable variables. We used the RWZ methodology to ...

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VAR,VECM,Impulse response theory

VAR,VECM,Impulse response theory

... The impulse response functions for measures the effect of a one standard deviation monetary shock on current and future industrial production and money ...

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News and correlations: an impulse response analysis.

News and correlations: an impulse response analysis.

... an impulse response analysis on the conditional correlations between three stock indices returns: the Nikkei, the FTSE 100 and the S&P ...the impulse response function in nonlinear models ...

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Generalized Impulse Response Analysis: General or Extreme?

Generalized Impulse Response Analysis: General or Extreme?

... I report the ordering-free GIRF and the OIRF with an ordering [   ] to a government expenditure shock in Figure 1. 4 Both response functions display a decrease in , which may be consistent with the ...

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Impulse Response of the HVAC Duct as a Communication Channel

Impulse Response of the HVAC Duct as a Communication Channel

... As an example, consider a straight “radio friendly” duct (both ends are terminated with matched loads, with , and all other parameters are the same as before). In this situation, only intermodal and intramodal ...

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Non-inductive components of electromagnetic signals associated with L’Aquila earthquake sequences estimated by means of inter-station impulse response functions

Non-inductive components of electromagnetic signals associated with L’Aquila earthquake sequences estimated by means of inter-station impulse response functions

... 3 Universit`a degli studi di L’Aquila, Italy Received: 7 November 2010 – Revised: 1 January 2011 – Accepted: 4 January 2011 – Published: 6 April 2011 Abstract. On 6 April 2009 at 01:32:39 UT a strong earth- quake ...

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Impulse response modeling for underwater optical wireless channels

Impulse response modeling for underwater optical wireless channels

... channels, impulse response is widely used to de- scribe the temporal dispersion of the received ...the impulse response in most realistic cases in the UOWC ...Gamma functions (WDGF) ...

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Multivariate quantile impulse response functions

Multivariate quantile impulse response functions

... Forecasting Two-periods ahead forecasting - quantile paths Consider now the two-periods ahead forecast, i.e. t + 2, at quantiles τ 2 . Note that this would depend on the response at t + 1 and the implicit quantile ...

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US Real Estate Investment Performance: 1983-2012

US Real Estate Investment Performance: 1983-2012

... The results show that although equity REITs outperformed all other assets on average annual return, on a risk-adjusted basis both private retail and apartment real estate outperformed [r] ...

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Which impulse response function?

Which impulse response function?

... rate‘s response is more or less flat between 20-30 basis points above the pre-shock level after 18 ...output‘s response significantly departs from that of the VIRF after 4 ...

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