In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

Forecasting, Structural Time Series Models and the Kalman Filter

Using a Bayesian likelihood approach, we estimate a dynamic stochastic general equilibrium model for the US economy using seven macro-economic time series. The model incorporates many types of real and nominal frictions and seven types of structural shocks. We show that this model is able to compete with Bayesian Vector Autoregression models in out-of-sample prediction. We investigate the relative empirical importance of the various frictions. Finally, using the estimated model we address a number of key issues in business cycle analysis: What are the sources of business cycle fluctuations? Can the model explain the cross-correlation between output and inflation? What are the effects of productivity on hours worked? What are the sources of the "Great Moderation"?

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Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach

Over the last two decades, communication has become an increasingly important aspect of monetary policy. These real-world developments have spawned a huge new scholarly literature on central bank communication-mostly empirical, and almost all of it written in this decade. We survey this ever-growing literature. The evidence suggests that communication, can be an important and powerful part of the central bank's toolkit since it has the ability to move financial markets, to enhance the predictability of monetary policy decisions, and potentially to help achieve central banks' macroeconomic objectives. However, the large variation in communication, strategies across central banks suggests that a. consensus has yet to emerge, on what constitutes an optimal communication strategy.

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Central bank communication and monetary policy: A survey of theory and evidence

Different continuous-time models for interest rates coexist in the literature. We test parametric models by comparing their implied parametric density to the same density estimated nonparametrically. We do not replace the continuous-time model by discrete approximations, even though the data are recorded at discrete intervals. The principal source of rejection of existing models is the strong nonlinearity of the drift. Around its mean, where the drift is essentially zero, the spot rate behaves like a random walk. The drift then mean-reverts strongly when far away from the mean. The volatility is higher when away from the mean.

Testing Continuous-Time Models of the Spot Interest Rate

We propose an exchange rate model that can explain both the observed volatility and the persistence of real and nominal exchange rate movements and thus in some measure resolves Rogoff's (1996) purchasing power parity puzzle. Our analysis reconciles the well-known difficulties in beating the random walk forecast model with the statistical evidence of nonlinear mean reversion in deviations from fundamentals. Our analysis also provides a compelling rationale for the long-horizon predictability of exchange rates. We find strong empirical support for long-horizon predictability, and we explain why it is difficult to exploit this predictability in real-time forecasts. Our results not only lend support to economists' beliefs that the exchange rate is inherently predictable, but they also help us to understand the reluctance of applied forecasters to abandon chartist methods in favor of models based on economic fundamentals.

https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=356266

Why is it so Difficult to Beat the Random Walk Rorecast of Exchange Rates

In this paper we study the role of the stock market in the transmission mechanism in the euro area and evaluate whether price stability and financial stability are mutually consistent and complementary objectives. Four major conclusions can be drawn from our work. First, stock prices and, more generally, relative asset prices seem to play an important role in the transmission mechanism in the euro area. Second, we do not find any significant, direct impact of stock prices on inflation. Third, permanent productivity shocks are the driving force of the stock market in the long-run and contribute significantly to its cyclical behaviour. Nevertheless, the bulk of cyclical dynamics in the stock market is explained by transitory shocks. Fourth, a monetary policy focused on maintaining price stability in the long-run can contribute also to stock market stability.

Monetary Policy and the Stock Market in the Euro Area

We study European banks’ demand for short-term funds (liquidity) during the summer 2007 subprime market crisis. We use bidding data from the European Central Bank’s auctions for one-week loans, their main channel of monetary policy implementation. Our analysis provides a high-frequency, disaggregated perspective on the 2007 crisis, which was previously studied through comparisons of collateralized and uncollateralized interbank money market rates which do not capture the heterogeneous impact of the crisis on individual banks. Through a model of bidding, we show that banks’ bids reflect their cost of obtaining short-term funds elsewhere (e.g., in the interbank market) as well as a strategic response to other bidders. The strategic response is empirically important: while a naive interpretation of the raw bidding data may suggest that virtually all banks suffered an increase in the cost of short-term funding, we find that for about one third of the banks, the change in bidding behavior was simply a strategic response. We also find considerable heterogeneity in the short-term funding costs among banks: for over one third of the bidders, funding costs increased by more than 20 basis points, and funding costs vary widely with respect to the country-of-origin. Estimated funding costs of banks are also predictive of market - and accounting-based measures of bank performance, suggesting the external validity of our findings.

https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=1912460

The 2007 Subprime Market Crisis Through the Lens of European Central Bank Auctions for Short-Term Funds

The paper studies the euro area money market from a microstructure perspective. The focus is on the empirical estimation of the factors underlying the volatility of the overnight interest rate and its transmission along the money market yield curve. Two sources of volatility are separated out, one related to the institutional features of the operational framework and payments system, and the other, related to the impact of policy decisions. A novel data set is used composed of hourly observations and covering several short-term interest rates. The sample runs from 4/12/2000 to 31/05/2002. Two common long-memory factors are found to drive the volatility processes. The first explains the long-memory dynamics of the shortest maturity. The other explains the transmission of volatility to other maturities. It is shown that announcements of interest rate changes exercise the strongest impact on the volatility of the shortest maturities. Persistent effects of liquidity shortages that are transmitted along the mo...

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Volatility of interest rates in the euro area: Evidence from high frequency data

https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp668.pdf

Declining valuations and equilibrium bidding in central bank refinancing operations

In order to assess the importance of monetary and financial developments for key macroeconomic variables in the euro area a money demand system for M3 is estimated adopting a structural cointegrating VAR approach. While maintaining a good statistical representation of the data, long-run relationships are based on economic theory. By using generalized response profiles the dynamics of the money demand system is investigated without any further identifying assumptions. Error bounds of the profiles are derived using bootstrap simulations.

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Nuno Cassola

Papers

Monetary Policy and the Stock Market in the Euro Area

The 2007 Subprime Market Crisis Through the Lens of European Central Bank Auctions for Short-Term Funds

Volatility of interest rates in the euro area: Evidence from high frequency data

Declining valuations and equilibrium bidding in central bank refinancing operations

A money demand system for euro area M3