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International effects of a compression of euro area yield curves. (2019). Huber, Florian ; Feldkircher, Martin ; Florian, Huber ; Thomas, Gruber.
In: Working Papers in Economics.
RePEc:ris:sbgwpe:2019_001.

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  1. High-frequency and heteroskedasticity identification in multicountry models: Revisiting spillovers of monetary shocks. (2024). Pfarrhofer, Michael ; Stelzer, Anna.
    In: Papers.
    RePEc:arx:papers:1912.03158.

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  2. How have the European central bank’s monetary policies been affecting financial markets in CEE-3 countries?. (2021). Grabowski, Wojciech ; Stawasz-Grabowska, Ewa.
    In: Eurasian Economic Review.
    RePEc:spr:eurase:v:11:y:2021:i:1:d:10.1007_s40822-020-00160-3.

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  3. Global Factors Driving Inflation and Monetary Policy: A Global VAR Assessment. (2020). Tondl, Gabriele ; Feldkircher, Martin.
    In: International Advances in Economic Research.
    RePEc:kap:iaecre:v:26:y:2020:i:3:d:10.1007_s11294-020-09792-2.

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  4. BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R. (2020). Huber, Florian ; Feldkircher, Martin ; Boeck, Maximilian ; Bock, Maximilian.
    In: Globalization Institute Working Papers.
    RePEc:fip:feddgw:88639.

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  5. Who’s afraid of euro area monetary tightening? CESEE shouldn’t. (2020). Schuler, Tobias ; Moder, Isabella ; Geis, Andre.
    In: Working Paper Series.
    RePEc:ecb:ecbwps:20202416.

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  6. Does a Big Bazooka Matter? Quantitative Easing Policies and Exchange Rates. (2020). Mehl, Arnaud ; Gräb, Johannes ; Georgiadis, Georgios ; Dedola, Luca ; Grab, Johannes.
    In: CEPR Discussion Papers.
    RePEc:cpr:ceprdp:14324.

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  7. Global Factors Driving Inflation and Monetary Policy: A Global VAR Assessment. (2019). Tondl, Gabriele ; Feldkircher, Martin ; Lukmanova, Elizaveta.
    In: Department of Economics Working Paper Series.
    RePEc:wiw:wus005:7090.

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  8. Effects of the ECBs Unconventional Monetary Policy on Real and Financial Wealth. (2019). Poyntner, Philipp ; Feldkircher, Martin ; Schuberth, Helene.
    In: Department of Economics Working Paper Series.
    RePEc:wiw:wus005:7040.

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  9. Global Factors Driving Inflation and Monetary Policy: A Global VAR Assessment. (2019). Tondl, Gabriele ; Feldkircher, Martin ; Lukmanova, Elizaveta.
    In: Department of Economics Working Papers.
    RePEc:wiw:wiwwuw:wuwp289.

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  10. Effects of the ECB’s Unconventional Monetary Policy on Real and Financial Wealth. (2019). Poyntner, Philipp ; Feldkircher, Martin ; Schuberth, Helene ; de Luigi, Clara.
    In: Department of Economics Working Papers.
    RePEc:wiw:wiwwuw:wuwp286.

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  11. Do SVARs with Sign Restrictions Not Identify Unconventional Monetary Policy Shocks?. (2019). Peersman, Gert ; Hofmann, Boris ; Galesi, Alessandro ; Dossche, Maarten ; Boeckx, Jef.
    In: Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium.
    RePEc:rug:rugwps:19/973.

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  12. Global inflation dynamics and inflation expectations. (2019). Siklos, Pierre ; Feldkircher, Martin.
    In: International Review of Economics & Finance.
    RePEc:eee:reveco:v:64:y:2019:i:c:p:217-241.

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  13. Do SVARs with sign restrictions not identify unconventional monetary policy shocks?. (2019). Peersman, Gert ; Hofmann, Boris ; Galesi, Alessandro ; Dossche, Maarten ; Boeckx, Jef.
    In: BIS Working Papers.
    RePEc:bis:biswps:788.

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References

References cited by this document

  1. Acharya VV, Eisert T, Eufinger C and Hirsch CW (2017) Whatever it Takes: The Real Effects of Unconventional Monetary Policy. Working Paper 152, SAFE Working Paper [7] Altavilla C, Giannone D and Lenza M (2016) The Financial and Macroeconomic Effects of OMT Announcements.

  2. Available at SSRN [15] Bruno V and Shin HS (2015) Capital flows and the risk-taking channel of monetary policy. Journal of Monetary Economics 71, 119–132 [14] Burriel P and Galesi A (2018) Uncovering the heterogeneous effects of ecb unconventional monetary policies across euro area countries. European Economic Review 101, 201–229 [2, 10, 11, 17, 19] Carriero A, Clark TE, Marcellino M et al. (2019) Large Vector Autoregressions with Asymmetric Priors.

  3. Economic Policy Review , 15–26 [10, 13] Lenza M, Pill H and Reichlin L (2010) Monetary policy in exceptional times. Economic Policy 25, 295–339 [2] Markowitz H (1952) The utility of wealth. Journal of Political Economy 60(2), 151–158 [15] Moder I (2019) Spillovers from the ECB’s non-standard monetary policy measures on Southeastern Europe.

  4. Ensayos sobre política económica 34(81), 175–190 [13] Cogley T, Morozov S and Sargent TJ (2005) Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system. Journal of Economic Dynamics and Control 29(11), 1893– 1925 [24] Cogley T and Sargent TJ (2005) Drifts and volatilities: monetary policies and outcomes in the post WWII US.

  5. International Journal of Central Banking forthcoming [2] Mumtaz H and Surico P (2009) The Transmission of International Shocks: A Factor-Augmented VAR Approach.

  6. Journal of Econometrics forthcoming [15] Holló D, Kremer M and Lo Duca M (2012) CISS - a composite indicator of systemic stress in the financial system. Working Paper Series 1426, European Central Bank [17] Horváth R and Voslářová K (2017) International spillovers of ECB’s unconventional monetary policy: the effect on Central Europe. Applied Economics 49(24), 2352–2364 [2, 14] Huber F (2016) Density forecasting using Bayesian global vector autoregressions with stochastic volatility.

  7. Journal of Econometrics forthcoming [24] Chen Q, Filardo A, He D and Zhu F (2016) Financial crisis, US unconventional monetary policy and international spillovers. Journal of International Money and Finance 67(C), 62–81 [2] Chen Y and Tsang KP (2013) What Does the Yield Curve Tell Us about Exchange Rate Predictability? The Review of Economics and Statistics 95(1), 185–205 [13] Chow G and Lin A (1971) Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series By Related Series. Review of Economics and Statistics 53, 372–375 [3] Ciarlone A and Colabella A (2016) Spillovers of the ECB’s non-standard monetary policy into CESEE economies.

  8. Posterior simulation is carried out by sampling from the N + 1 country-specific posterior distributions in parallel. The MCMC algorithm is standard in the literature for VAR models. Specifically, we sample Ci on an equation-by-equation basis (for details, see Carriero et al., 2019) from an multivariate normal distribution.
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  9. Since prior information on inclusion/exclusion of a given covariance parameter is rather scarce, we again adopt a Bernoulli prior with prior inclusion probability set to qij,n = Prob(κij,n = 1) = 1/2, κij,n ∼ Bernoulli(qij,n). (16) We follow Kastner and Frühwirth-Schnatter (2014) and impose a normally distributed prior on ij ∼ N (0, 102), a Beta distributed prior on ρi j +1 2 ∼ B(25, 5) and a Gamma prior on ς2 ij ∼ G(1/2, 1/2). As mentioned in Section 2.2, our model collapses to a homoscedastic GVAR model if ς2 ij equals zero. The Gamma prior on ς2 ij is equivalent to imposing a normally distributed prior on ςij, ς2 ij ∼ G(1/2, 1/2) ⇔ ςij ∼ N (0, 1). (17) This prior centers ςij on zero, if necessary and thus softly shrinks the model toward a homoscedastic specification.
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  10. The free elements of Ui can be simulated by noting that the system can be rewritten as a set of ki univariate regression models with standard normally distributed errors (see Cogley et al., 2005). The log-volatilities and the parameters of the state equation Eq. (5) are simulated by means of the algorithm stipulated in Kastner and Frühwirth-Schnatter (2014) and implemented in the R package stochvol (Kastner, 2016). The indicator variables δij and κij,n are sampled from their Bernoulli distributed conditional posterior distributions.For further information on the specific posterior moments, see Feldkircher and Huber (2016). Finally, we specify the remaining hyperparameters for the prior. More specifically, following George et al.
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