Does Central Bank Transparency and Communication Affect Financial and Macroeconomic Forecasts? (joint with Enzo Rossi), published in the March 2020 issue of the International Journal of Central Banking.
In a large sample of countries across different geographic regions and over a long period of time, we find limited country- and variable-specific effects of central bank transparency on forecast accuracy and their dispersion among a large set of professional forecasts of financial and macroeconomic variables. More communication even increases forecast errors and dispersion.
Even when all past and present information is known individuals usually remain uncertain about the permanence of observed variables. After reviewing the history and role of adaptive expectations and its statistical foundations in modeling this permanent-transitory confusion the paper investigates the consequences of this confusion for tests of market efficiency in the treasury bill and foreign exchange markets. A central result is that the detection of serial correlation in efficiency tests based on finite samples does not necessarily imply that markets are inefficient. The second part of the paper utilizes data on Israeli inflation expectations from the capital market to estimate the implicit speed of learning about changes in inflation and to examine the performance of adaptive expectations in tracking the evolution of those expectations during the 1985 Israeli shock stabilization as well as during the stable inflation targeting period.
We analyze the economic impact of central banks sensed by business executives in a sample of 61 countries from 1998 to 2016. Based on a survey conducted by the Institute for Management Development (IMD), we find compelling evidence that intensive central bank communication worsens the perceived impact. During the global financial crisis (GFC), this effect became even stronger. In contrast, economic growth and a positive output gap improve the opinion executives have of their central bank's impact on the economy. Moreover, although less robustly, higher unemployment, and higher short-term interest rates worsen executives' opinion, while market uncertainty improves it. The level of inflation and an inflation targeting regime, central bank independence and transparency, financial crises, the zero lower bound constraint, forward guidance, the performance of the stock exchange, and the volatility of the exchange rate seem to be unimportant in this regard.
We examine the cross-country relationships between measures of forecast uncertainty, forecast dispersion across individual forecasters and the variabilities of short-term interest rates and long-term yields. The main findings are: (i) Forecast uncertainty and forecast dispersion are positively and significantly related across countries for both short-term interest rates and long-term yields. (ii) A positive, albeit weaker, relation is found between forecast uncertainty and interest rate variability. (iii) Forecast dispersion of short-term interest rates and rates' variability are also positively associated. The evidence is followed by a Bayesian learning model that discusses conditions under which the results above are implied by theory.
We demonstrate how precision of public and private information in an economy can be measured. We develop and apply a procedure to test the welfare implications of a beauty and non-beauty contest based on survey forecasts of interest rates and yields in a large country sample over an extended period of time. In most countries, interest rate forecasts are unbiased and consistent with both models, but are rarely supported by yield forecasts. In half of the countries, a higher precision of public information regarding interest rates increases welfare. During forward guidance, public information is less precise than private information.
This paper develops a model of honest rational professional forecasters with different abilities and submits it to empirical verification using data on 3- and 12-months ahead forecasts of short-term interest rates and of long-term bond yields for up to 33 countries collected by Consensus Economics. The main finding is that in many countries, less-precise forecasters weigh public information more heavily than more-precise forecasters who weigh their own private information relatively more heavily. One implication of this result is that less-precise forecasters herd after more-precise forecasters even in the absence of strategic considerations. We also document differences between the average forecasting errors of more- and less-able forecasters as well as substantial correlations between the forecast errors of different forecasters.
In this paper, I derive and apply three univariate methods and one bivariate method to estimate permanent and transitory components of the American output growth path during the 1790 to 2017 period. The results show that statistical tests give little support to the hypothesis of signiﬁcant permanent growth rate changes (univariate methods). The "special century" (1870-1970, as deﬁned by Gordon (2016)) exhibited more volatile permanent shifts in the output level compared to recent decades (bivariate method).
This data set contains metadata for speeches from the BIS
"Central Bankers' Speeches" database. Metadata include the exact date of the speech and the central bank that spoke. The data set is updated to July 2020.
American Political Science Review (APSR);
International Journal of Central Banking (IJCB);
Journal of Money, Credit and Banking (JMCB);
SNB internal papers.
Invited Conferences and Workshops
Workshop ROME (Research on Money in the Economy), Frankfurt (17/05).
Bank of Canada Conference on Central Bank Communication, Ottawa (14/09).
4th Thomas Guggenheim Conference on "Expectations: Theory and Applications in Historical Perspective", at the Ben-Gurion University of the Negev, Israel (18/12).
Conferences and Workshops
25th Annual Conference of the Multinational Finance Society in Budapest (Presenter and Discussant, 25/06);
2018 Annual Meeting of the Swiss Society of Economics and Statistics SSES at the University of St. Gallen (Presenter, poster and parallel session, 14-15/06);
Swiss Finance Institute Research Days 2018 at the Study Center Gerzensee (Presenter, 4/06);
SNB Brown Bag Workshop (Presenter, 8/05);
EABCN Conference: "Measuring the Effects of Unconventional Monetary Policy in the Data: What Have We Learned?" at the Universitat Pompeu Fabra (Presenter, 27/04);
SNB-BIS Workshop at the BIS (Presenter, 22/03);
SNB Brown Bag Workshop (Presenter, 20/03);
T2M Conference 2018 at the Université Paris Dauphine (Presenter and Discussant, 15/03).
IV Gerzensee Alumni Conference at the Study Center Gerzensee (Presenter, 5/12);
BuBa-OeNB-SNB Workshop at the SNB (Presenter, 27/09);
Swiss Finance Institute Research Days 2017 at the Study Center Gerzensee (Presenter, 4/06);
Brown Bag Seminar at the Study Center Gerzensee (Presenter, 29/05);
Economics Lunch at the University of Basel (Presenter, 17/05);
SNB Brown Bag Workshop (Presenter, 25/04);
Kolloquium at the University of Basel (Presenter, 6/04);
SNB Brown Bag Workshop (Presenter, 20/12);
BuBa-OeNB-SNB Workshop at the BuBa (Presenter, 13/10).