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Academic literature on the topic 'Generalized Impulse Response Functions'

Author: Grafiati
Published: 11 March 2023

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Journal articles on the topic "Generalized Impulse Response Functions"

1

Karamé, F. "An algorithm for generalized impulse-response functions in Markov-switching structural VAR." Economics Letters 117, no. 1 (2012): 230–34. http://dx.doi.org/10.1016/j.econlet.2012.04.089.

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2

Bação, Pedro, António Portugal Duarte, Helder Sebastião, and Srdjan Redzepagic. "Information Transmission Between Cryptocurrencies: Does Bitcoin Rule the Cryptocurrency World?" Scientific Annals of Economics and Business 65, no. 2 (2018): 97–117. http://dx.doi.org/10.2478/saeb-2018-0013.

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Abstract This paper investigates the information transmission between the most important cryptocurrencies - Bitcoin, Litecoin, Ripple, Ethereum and Bitcoin Cash. We use a VAR modelling approach, upon which the Geweke’s feedback measures and generalized impulse response functions are computed. This methodology allows us to fully characterize the direction, intensity and persistence of information flows between cryptocurrencies. At this data granularity, most of information transmission is contemporaneous. However, it seems that there are some lagged feedback effects, mainly from other cryptocurrencies to Bitcoin. The generalized impulse-response functions confirm that there is a strong contemporaneous correlation and that there is not much evidence of lagged effects. The exception appears to be related to the overreaction of Bitcoin returns to contemporaneous shocks.
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3

Al-Shayeb, Abdulrahman, and Abdulnasser Hatemi-J. "Trade openness and economic development in the UAE: an asymmetric approach." Journal of Economic Studies 43, no. 4 (2016): 587–97. http://dx.doi.org/10.1108/jes-06-2015-0094.

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Purpose The purpose of this paper is to offer a review of the trade policy in the UAE. It also investigates the dynamic interaction between trade openness and GDP per capita in this emerging economy. Design/methodology/approach The asymmetric generalized impulse response functions and the asymmetric causality tests developed by Hatemi-J are used. Findings The results from asymmetric generalized impulse response functions indicate that a positive permanent shock in the trade openness results in a significant positive response in the cumulative sum of the positive component of the GDP per capita. Such a response is not found for the negative shocks in the trade openness. Furthermore, neither a positive nor a negative shock in the GPD per capita results in any significant response in the trade openness. These empirical findings are also supported by the implemented asymmetric causality tests. Originality/value This is the first attempt that investigates the impact of trade openness on economic performance in the UAE. Unlike previous literature on the topic, this paper allows for asymmetric impacts in the empirical model.
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Hatemi-J, Abdulnasser, and Youssef El-Khatib. "The nexus of trade-weighted dollar rates and the oil prices: an asymmetric approach." Journal of Economic Studies 47, no. 7 (2020): 1579–89. http://dx.doi.org/10.1108/jes-06-2019-0266.

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PurposeThis paper investigates the dynamic relationship between the trade-weighted dollar exchange rates and the oil prices in the world market. Monthly data during 1980–2017 are used for this purpose.Design/methodology/approachThe symmetric and asymmetric generalized impulse response functions are estimated for these important economic indicators.FindingsThe empirical findings show that if the dollar rate increases (i.e. the dollar depreciates), the oil price will increase. The reverse relationship is also supported empirically meaning that an increase in the oil price will results in a significant depreciation of the dollar rate. Based on the asymmetric impulses responses, it can also be claimed that the negative interaction is only significant for the positive changes and not for the negative ones. Thus, the underlying variables are negatively interrelated only for the positive shocks since a negative shock from any variable does not seem to have any significant impact on the other variable. These results have implications for cross hedging of price risk.Originality/valueTo the best knowledge, this is the first attempt to investigate the relationship between the dollar weighted exchange rate and the oil pieces via the asymmetric impulse response functions. Both of these variables and their interactions are very important for investors as well as policy makers worldwide.
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YANG, Zi-Jiang, Teruo TSUJI, and Takaya SHONO. "Impulse Response Identification of Continuous Systems Using Generalized Radial Basis Function Networks." Transactions of the Society of Instrument and Control Engineers 31, no. 1 (1995): 14–21. http://dx.doi.org/10.9746/sicetr1965.31.14.

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6

Alvarez, Fernando, Francesco Lippi, and Aleksei Oskolkov. "The Macroeconomics of Sticky Prices with Generalized Hazard Functions." Quarterly Journal of Economics 137, no. 2 (2021): 989–1038. http://dx.doi.org/10.1093/qje/qjab042.

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Abstract We give a full analytic characterization of a large class of sticky-price models where the firm’s price-setting behavior is described by a generalized hazard function. Such a function allows for a vast variety of empirical hazards to be fitted. This setup is microfounded by random adjustment costs, as in Caballero and Engel (1999), or by information frictions, as in Woodford (2009). We establish two main results. First, we show how to identify all the primitives of the model, including the distribution of the fundamental adjustment costs and the implied generalized hazard function, using the distribution of price changes. Second, we derive a sufficient statistic for the aggregate effect of a monetary shock: given an arbitrary generalized hazard function, the cumulative impulse response of output to a once-and-for-all monetary shock is proportional to the ratio of the kurtosis of the steady-state distribution of price changes over the frequency of price adjustment. We prove that Calvo’s model yields the upper bound and Golosov and Lucas’s model the lower bound on this measure in the class of random menu cost models.
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7

Nuru, Naser Yenus, and Hiluf Techane Gidey. "THE EFFECT OF EXCHANGE RATE UNCERTAINTY ON DOMESTIC INVESTMENT IN ETHIOPIA." INDIAN JOURNAL OF FINANCE AND ECONOMICS 3, no. 1 (2022): 91–102. http://dx.doi.org/10.47509/ijfe.2022.v03i01.07.

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There is no yet clear theoretical and empirical consensus on the relationship between exchange rate uncertainty and domestic investment. The main purpose of this study, therefore, is to examine the effect of real effective exchange rate uncertainty on domestic investment for the Ethiopian economy over the sample period 1992Q1- 2016Q1. To address this objective, Jordà’s (2005) local projection method is employed and generalized impulse response functions are generated in this study. The impulse response functions exhibit that one standard deviation shock in exchange rate uncertainty stimulates domestic investment for the Ethiopian economy. In response to one standard deviation shock in exchange rate uncertainty, domestic investment increases to around 4 percent at the second quarter. This may indicate the existence of risk neutral or insensitive domestic investors to exchange rate uncertainty in Ethiopia. As to the effects of other control variables, domestic investment also increases in response to real income and real effective exchange rate shocks. The effect of inflation shock on domestic investment is positive and statistically significant up to the eighth quarter, and negative and significant afterwards.
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8

Rahman, Sajjadur, and Apostolos Serletis. "THE ASYMMETRIC EFFECTS OF OIL PRICE SHOCKS." Macroeconomic Dynamics 15, S3 (2011): 437–71. http://dx.doi.org/10.1017/s1365100511000204.

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In this paper we investigate the effects of oil price uncertainty and its asymmetry on real economic activity in the United States, in the context of a bivariate vector autoregression with GARCH-in-mean errors. The model allows for the possibilities of spillovers and asymmetries in the variance–covariance structure for real output growth and the change in the real price of oil. Our measure of oil price uncertainty is the conditional variance of the oil price–change forecast error. We isolate the effects of volatility in the change in the price of oil and its asymmetry on output growth and employ simulation methods to calculate generalized impulse response functions and volatility impulse response functions to trace the effects of independent shocks on the conditional means and the conditional variances, respectively, of the variables. We find that oil price uncertainty has a negative effect on output, and that shocks to the price of oil and its uncertainty have asymmetric effects on output.
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9

Dugda, Mulugeta, and Farzad Moazzami. "Generalized Pattern Search Algorithm for Crustal Modeling." Computation 8, no. 4 (2020): 105. http://dx.doi.org/10.3390/computation8040105.

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In computational seismology, receiver functions represent the impulse response for the earth structure beneath a seismic station and, in general, these are functionals that show several seismic phases in the time-domain related to discontinuities within the crust and the upper mantle. This paper introduces a new technique called generalized pattern search (GPS) for inverting receiver functions to obtain the depth of the crust–mantle discontinuity, i.e., the crustal thickness H, and the ratio of crustal P-wave velocity Vp to S-wave velocity Vs. In particular, the GPS technique, which is a direct search method, does not need derivative or directional vector information. Moreover, the technique allows simultaneous determination of the weights needed for the converted and reverberated phases. Compared to previously introduced variable weights approaches for inverting H-κ stacking of receiver functions, with κ = Vp/Vs, the GPS technique has some advantages in terms of saving computational time and also suitability for simultaneous determination of crustal parameters and associated weights. Finally, the technique is tested using seismic data from the East Africa Rift System and it provides results that are consistent with previously published studies.
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10

Šumichrast, L’Ubomír. "Unified approach to the impulse response and green function in the circuit and field theory, part I: one–dimensional case." Journal of Electrical Engineering 63, no. 5 (2012): 273–80. http://dx.doi.org/10.2478/v10187-012-0040-8.

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In the circuit theory the concept of the impulse response of a linear system due to its excitation by the Dirac delta function ƍ(t) together with the convolution principle is widely used and accepted. The rigorous theory of symbolic functions, sometimes called distributions, where also the delta function belongs, is rather abstract and requires subtle mathematical tools [1], [2], [3], [4]. Nevertheless, the most people intuitively well understand the delta function as a derivative of the (Heaviside) unit step function 1(t) without too much mathematical rigor. The concept of the impulse response of linear systems is here approached in a unified manner and generalized to the time-space phenomena in one dimension (transmission lines), as well as in a subsequent paper [5] to the phenomena in more dimensions (static and dynamic electromagnetic fields).
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