if this message does not display correctly, click here | | |
CEIS: CENTRE FOR ECONOMIC & INTERNATIONAL STUDIES Furio Camillo Rosati - Director "Sovereign Spread Volatility and Banking Sector" CEIS Working Paper No. 454 (2019) VIVEK SHARMA, Università LUISS Guido Carli Email:
">
EDGAR SILGADO-GÓMEZ, University of Rome 'Tor Vergata' Email:
">
Using structural vector autoregression augmented with stochastic volatility (SVAR-SV), we document that in late 2000s there were large spikes in volatility of spreads on peripheral eurozone government bonds. This increased volatility entailed a significant decline in bank credit to nonfinancial sector and real economic activity. We rationalize these results in a New Keynesian dynamic stochastic general equilibrium (DSGE) model with financial intermediation. In our framework, a rise in spread volatility erodes banks’ net worth and constrains their balance sheets. The banks respond by slashing their lending to real sector, dampening the economy as a whole. Results from the model match our empirical findings. "Predictability, Real Time Estimation, and the Formulation of Unobserved Components Models" CEIS Working Paper No. 455 TOMMASO PROIETTI, University of Rome II - Department of Economics and Finance Email:
">
The formulation of unobserved components models raises some relevant interpretative issues, owing to the existence of alternative observationally equivalent specifi cations, differing for the timing of the disturbances and their covariance matrix. We illustrate them with reference to unobserved components models with ARMA(m;m) reduced form, performing the decomposition of the series into an ARMA(m; q) signal, q m, and a noise component. We provide a characterization of the set of covariance structures that are observationally equivalent, when the models are formulated both in the future and the contemporaneous forms. Hence, we show that, while the point predictions and the contemporaneous real time estimates are invariant to the specifi cation of the disturbances covariance matrix, the reliability cannot be identi fied, except for special cases requiring q < m - 1. "Real Effective Exchange Rates Determinants and Growth: Lessons from Italian Regions" CEIS Working Paper No. 456 SILVIA CALO, Central Bank of Ireland MARIAROSARIA COMUNALE, Bank of Lithuania - Economics Department Email:
">
In this paper we analyse the price competitiveness of the Italian regions by computing the Real Effective Exchange Rate (REER) for each region, deflated by CPI and vis-Ã -vis the main partner countries. We use them to look for the medium-term determinants, finding significant heterogeneities in the role of government consumption and investment expenditure. Government consumption has an extremely negative effect on competitiveness in North-Eastern Italy, Southern Italy and Lazio. Investment plays a negative role especially in the North-West, while it can be positive for competitiveness in Lazio and Southern Italy. We also find that the transfer theory does not necessarily hold and it even behaves in the opposite direction in case of North-Eastern Italy and Lazio. Lastly, we show that an increase in the regional price competitiveness influences regional growth positively only in the long run and spillovers may play a role. | | ^top
About this eJournal Submissions To submit your research to SSRN, sign in to the SSRN User HeadQuarters, click the My Papers link on left menu and then the Start New Submission button at top of page. Distribution Services If your organization is interested in increasing readership for its research by starting a Research Paper Series, or sponsoring a Subject Matter eJournal, please email:
">
Distributed by Economics Research Network (ERN), a division of Social Science Electronic Publishing (SSEP) and Social Science Research Network (SSRN) Directors ECONOMICS RESEARCH CENTERS PAPERS MICHAEL C. JENSEN Harvard Business School, SSRN, National Bureau of Economic Research (NBER), European Corporate Governance Institute (ECGI), Harvard University - Accounting & Control Unit Email:
">
Please contact us at the above addresses with your comments, questions or suggestions for ERN-RES. | | | | | | Subscription Management You can change your journal subscriptions by logging into SSRN User HQ. If you have questions or problems with this process, please email
">
or call 877-SSRNHelp (877.777.6435 or 212.448.2500). Outside of the United States, call 00+1+212+4482500. | | Site Subscription Membership Many university departments and other institutions have purchased site subscriptions covering all of the eJournals in a particular network. If you want to subscribe to any of the SSRN eJournals, you may be able to do so without charge by first checking to see if your institution currently has a site subscription. To do this please click on any of the following URLs. Instructions for joining the site are included on these pages. If your institution or department is not listed as a site, we would be happy to work with you to set one up. Please contact
">
for more information. | | Individual Membership (for those not covered by a site subscription) Join a site subscription, request a trial subscription, or purchase a subscription within the SSRN User HeadQuarters: https://hq.ssrn.com/Subscriptions.cfm | | Financial Hardship If you are undergoing financial hardship and believe you cannot pay for an eJournal, please send a detailed explanation to
">
| |
To ensure delivery of this eJournal, please add
">
(Economics Research Network) to your email contact list. If you are missing an issue or are having any problems with your subscription, please Email
">
or call 877-SSRNHELP (877.777.6435 or 585.442.8170). FORWARDING & REDISTRIBUTION Subscriptions to the journal are for single users. You may forward a particular eJournal issue, or an excerpt from an issue, to an individual or individuals who might be interested in it. It is a violation of copyright to redistribute this eJournal on a recurring basis to another person or persons, without the permission of SSRN. For information about individual subscriptions and site subscriptions, please contact us at
">
| | Copyright © 2019 Elsevier, Inc. All Rights Reserved | |
|