On the forecasting performance of a small-scale DSGE model

Dynamic stochastic general equilibrium (DSGE) models have recently become standard tools for policy analysis. Nevertheless, their forecasting properties have still barely been explored. In this article, we address this problem by examining the quality of forecasts of the key U.S. economic variables: the three-month Treasury bill yield, the GDP growth rate and GDP price index inflation, from a small-size DSGE model, trivariate vector autoregression (VAR) models and the Philadelphia Fed Survey of Professional Forecasters (SPF). The ex post forecast errors are evaluated on the basis of the data from the period 1994–2006. We apply the Philadelphia Fed “Real-Time Data Set for Macroeconomists” to ensure that the data used in estimating the DSGE and VAR models was comparable to the information available to the SPF.Overall, the results are mixed. When comparing the root mean squared errors for some forecast horizons, it appears that the DSGE model outperforms the other methods in forecasting the GDP growth rate. However, this characteristic turned out to be statistically insignificant. Most of the SPF's forecasts of GDP price index inflation and the short-term interest rate are better than those from the DSGE and VAR models.     

The evolution of U.S. monetary policy: 2000–2007

A vector autoregression with time-varying parameters is used to characterize changes in Federal Reserve policy that occurred from 2000 through 2007 and describe how they affected the performance of the U.S. economy. Declining coefficients in the model׳s estimated policy rule point to a shift in the Fed׳s emphasis away from stabilizing inflation over this period. More importantly, however, the Fed held the federal funds rate persistently below the values prescribed by this rule. Under this more discretionary policy, inflation overshot its target and the funds rate followed a path reminiscent of the “stop-go” pattern that characterized Fed behavior prior to 1979.     

Is the US equilibrium short‐term rate 3%, not 4%?

The bond market and early forward guidance from some Fed officials suggest the equilibrium short‐term interest rate over the next few years will have a 3%‐handle, below the traditional 4% level. We see heightened risks that the Fed will make a policy mistake. Markets should expect the volume of Fed talk and debate on the future trajectory and pace of rate hikes to increase.     

Why were changes in the federal funds rate smaller in the 1990s?

We identify two major changes in the dynamics of the federal funds rate in the 1990s. We model the desired rate in a two‐regime setting, one when the Fed makes no change and the other when the Fed is moving the desired rate to a new level. We find that the 1990s saw a longer duration in the no‐change regime as well as smaller changes in the other regime. The smaller changes were neither due to a less aggressive Fed nor due to lower volatility of the fundamentals. In fact, the Fed responded more aggressively to changes in fundamentals in the 1990s. Copyright © 2004 John Wiley & Sons, Ltd.     

Evaluating FOMC forecasts

Monetary policy outcomes have improved since the early 1980s. One factor contributing to the improvement is that Federal Reserve policymakers began reporting economic forecasts to Congress in 1979. These forecasts indicate what the Federal Open Market Committee (FOMC) members think will be the likely consequence of their policies. We evaluate the accuracy of the FOMC forecasts relative to private sector forecasts, the forecasts of the Research Staff at the Board of Governors, and a naïve alternative. We find that the FOMC output forecasts were better than the naïve model and at least as good as those of the private sector and the Fed staff. The FOMC inflation forecasts were more accurate than the private sector forecasts and the naïve model; for the period ending in 1996, however, they were not as accurate as Fed staff inflation forecasts.     

The Influence and Policy Signalling Role of FOMC Forecasts

Federal Open Market Committee (FOMC) policymakers have published macroeconomic forecasts since 1979 and we examine the effects of FOMC inflation forecasts using a structural VAR model. First, we assess whether they influence private inflation expectations. Second, we investigate the underlying mechanism at work and whether they convey policy signals. We provide original evidence that FOMC inflation forecasts influence private ones. We also find that the influencing effect of FOMC forecasts does not come through current Fed rate changes, that FOMC forecasts affect private expectations in a different way than current policy decisions, and that FOMC forecasts are informative about future Fed rate movements.     

How would Eurozone equities respond to a bond sell‐off?

• We have developed a new model to measure the impact on Eurozone equities of a global bond sell‐off as the Fed starts to tighten its monetary stance later this year. We show that the most affected countries would be Greece, Finland and Portugal: the cumulated equity loss compared to the baseline ranges from between 35% to more than 50% in the case of Greece at the end of 2017. Under this scenario, Belgium, Ireland and Austria are less impacted by the global re‐pricing of risk.
• In light of global risk being skewed to the downside (China, Greece, risk‐off), it is essential to have a framework that is able to generate consistent responses of Eurozone stock indices to global macro shocks in stress test scenarios. The approach assesses first the co‐movements of Eurozone stock indices and aims to explain them with macro variables such as the US S&P index, the oil price, the euro/dollar exchange rate and short‐ and long‐term interest rate differentials between the Eurozone and the US.
• We find a high degree of co‐movement in Eurozone equity returns. This matters from an asset management perspective, as it reveals limited potential for diversification benefits of an equity portfolio invested across Eurozone countries.

     

World Economic Prospects

Overview: Forecasts steady but near‐term signals mixed

• Our world growth forecasts are steady this month, at 2.3% for 2016 and 2.7% for 2017.
• One factor behind the more stable outlook is the rally in financial markets since mid‐February. This rally appears to have been the result of a number of factors including a more dovish Fed and an improvement in some near‐term economic indicators.
• The implied 12‐month ahead Fed funds rate dropped around 0.5% from its January peak to mid-February and remains around 0.35% lower now. So the Fed still apparently has the capacity to boost markets with changes in communication policy.
• The Citigroup economic surprise indicators have also improved over recent weeks, especially for emerging markets where the indicator is back in positive territory. The G10 index nevertheless remains clearly negative.
• Other economic signals are mixed. The latest reading of OE's world trade indicator (based on survey evidence for March) suggests a modest improvement, although again the indicator continues to signal weak world trade growth.
• Meanwhile, there have been some warnings of potentially softer labour market conditions. Though payrolls gains have remained solid, a weighted sum of the employment subindices of the US ISM surveys has dropped sharply over recent months. A similar index for the Eurozone is more positive, although it has also softened from its late‐2015 peaks.
• These mixed signals suggest limited likelihood of near‐term upgrades to the world growth outlook and overall we maintain our view from last month that risks look skewed to the downside – so that further monetary policy stimulus remains a possibility.
• This assessment appears to be shared, to some extent at least, by global bond markets. US 10‐year yields have dropped back to only 1.7% since mid‐March (only 0.1% above their February lows), with German yields at just 0.1% and Japanese yields at ‐ 0.1%. So the ‘great squeeze’ on G7 bond yields is still continuing.

     

Stock prices,firm size,and changes in the federal funds rate target

The Fed targeted the federal funds rate during the period 1974–1979; they returned to that procedure in the late 1980s and have maintained it since then. For both periods, we find that stock prices reacted significantly to unanticipated changes in the federal funds rate target. Consistent with the prediction of imperfect capital market theories, the estimated impact of monetary shocks is significantly larger for small stocks than for big stocks in the late 1970s, when business conditions were typically bad. However, the “size effect” is not present in the 1990s, when business conditions were typically good.     

A Bayesian Semiparametric Competing Risk Model with Unobserved Heterogeneity

This paper generalizes existing econometric models for censored competing risks by introducing a new flexible specification based on a piecewise linear baseline hazard, time‐varying regressors, and unobserved individual heterogeneity distributed as an infinite mixture of generalized inverse Gaussian (GIG) densities, nesting the gamma kernel as a special case. A common correlated latent time effect induces dependence among risks. Our model is based on underlying latent exit decisions in continuous time while only a time interval containing the exit time is observed, as is common in economic data. We do not make the simplifying assumption of discretizing exit decisions—our competing risk model setup allows for latent exit times of different risk types to be realized within the same time period. In this setting, we derive a tractable likelihood based on scaled GIG Laplace transforms and their higher‐order derivatives. We apply our approach to analyzing the determinants of unemployment duration with exits to jobs in the same industry or a different industry among unemployment insurance recipients on nationally representative individual‐level survey data from the US Department of Labor. Our approach allows us to conduct a counterfactual policy experiment by changing the replacement rate: we find that the impact of its change on the probability of exit from unemployment is inelastic. Copyright © 2014 John Wiley & Sons, Ltd.     

SALES,INVENTORIES AND REAL INTEREST RATES: A CENTURY OF STYLIZED FACTS

We use Bayesian time‐varying parameter structural vector autoregressions with stochastic volatility to investigate changes in reduced‐form and structural correlations between inventories and either sales growth or the real interest rate in the USA during both the inter‐war and post‐World War II periods. We identify four structural shocks by combining a single long‐run restriction to identify a permanent output shock with three sign restrictions to identify demand‐ and supply‐side transitory shocks. We show that during both the inter‐war and post‐war periods the structural correlation between inventories and real interest rate conditional on identified interest rate shocks is systematically positive; the reduced‐form correlation between the two series is positive during the post‐war period, but in line with the predictions of theory it is robustly negative during the inter‐war era; during that era the correlations between inventories and either of the two other series exhibit a remarkably strong co‐movement with output at business cycle frequencies. Copyright © 2014 John Wiley & Sons, Ltd.     

Musgrave’s “target saver” theory: Implications for macroeconomic stability and economic policy effectiveness”

Musgrave develops the concept of the “target saver,” in which the household saves in the present in order to finance a target level of consumption outlays in the future. The resulting household behavior is one in which a rise in the rate of interest in the present period reduces the amount of saving needed for future consumption, so that household saving is inversely rather than positively a function of the interest rate. The present study examines the potential implications of the target saver in the aggregate for macroeconomic stability and economic policy effectiveness.      

EXCHANGE RATE TARGET ZONES: A SURVEY OF THE LITERATURE

This work selectively reviews the literature on exchange rate target zones and their theoretical and empirical methodologies and examines whether they can be used to clarify to what extent this type of exchange rate regime could contribute to greater exchange rate stability. We discuss the main contributions of the first and second generations of exchange rate target zone models. In an attempt to reconcile the poor empirical performance of the Krugman model with the reality of exchange rate target zone regimes, this line of research integrates target zones with alternative underlying economic models, such as imperfect credibility, intra‐marginal interventions and sticky price models. It was thus possible to understand the correlations observed between the exchange rate, its fundamentals determinants and the interest rate differential, and to explain the fact that the statistical distribution of the exchange rate is hump shaped rather than U shaped. This implies that the initial emphasis of target zone models on nonlinearities, ‘honeymoon effect’, ‘smooth pasting’ and marginal interventions has vanished. Exchange rate target zones are better described as similar to managed floating regimes with intra‐marginal interventions, with some marginal interventions when the exchange rate reaches the edges of the floating band.     

The fiscal and monetary response to COVID‐19: What the Great Depression has – and hasn't – taught us

Although some regard the New Deal of the 1930s as exemplifying an aggressive fiscal and monetary response to a severe economic crisis, the US fiscal and monetary policy responses to the COVID‐19 crisis have actually been far more substantial – and, so far, much more effective in reviving aggregate spending. Although many fear that these responses, and the large‐scale increase in bank reserves especially, must eventually cause unwanted inflation, the concurrent sharp decline in money's velocity has thus far more than offset any inflationary effects of money growth, while forward bond prices reflect a general belief that inflation will remain below 2 per cent for at least another decade. Notwithstanding the growth of the Fed's balance sheet, Fed authorities can always check inflation by sufficiently raising the interest return on bank reserves. Nonetheless, recent developments have heightened the risk of ‘fiscal dominance’ of monetary policy at some point in the future.     

Do I Really Want to Work Here? Testing a Model of Job Pursuit for MBA Interns

Job pursuit refers to the intentions, decisions, or behaviors indicative of a candidate's interest in a particular employer. This study develops and tests a process model of job pursuit for MBA interns with data collected before, during, and after their internships. Our model integrates theory from the person‐environment fit and organizational socialization literature. Results show pre‐entry person‐organization (P‐O) fit and social aspects tactics jointly motivate proactive information seeking about the employer (from those inside and outside the assigned department) during the internship, and interactively motivate information seeking outside the assigned department. Yet, only information seeking inside the assigned department is related to learning about the employer. Learning about the employer also predicts job‐acceptance intentions, which in turn predicts job‐acceptance decisions. The model developed in this study should serve as a guide to help human resource managers understand job pursuit and acceptance in internships and other similar employment relationships. © 2014 Wiley Periodicals, Inc.     

Monetary policy on twitter and asset prices: Evidence from computational text analysis

In this paper, we dissect the Twitter debate about the future course of monetary policy and trace the effects of selected topics of this discourse on U.S. asset prices. We focus on the “taper tantrum” episode in 2013, a period with large revisions in expectations about future Fed policy. Based on a novel data set of 90,000 Twitter messages (“tweets”) covering the debate of Fed tapering on Twitter, we use Latent Dirichlet Allocation, a computational text analysis tool, to quantify the content of the discussion. Several estimated topic frequencies are then included in a VAR model to estimate the effects of topic shocks on asset prices. We find that the discussion about Fed policy on social media contains price-relevant information. Shocks to the discussion about the timing of the tapering, about the broader economic policy context and worrying investors are shown to lead to significant asset price changes. We also show that the effects are mostly due to changes in the term premium of yields consistent with the portfolio balance channel of unconventional monetary policy.     

The Dynamics of Humanitarian Aid Decisions

Humanitarian aid can be seen as a political investment motivated by altruism or by economic benefits for the donor. Uncertainty in the returns to this investment may generate hysteresis effects and inertia in aid allocations. I model the allocation decisions of the three largest humanitarian aid donors: the US government, the UK government and the European Commission, finding evidence that allocations depend on both recipient need and donor economic interest. Some donors exhibit more inertia than others, and some are more influenced by the decisions of other donors. Despite being a relatively small donor, the UK is particularly influential.     

The fed model: The bad,the worse,and the ugly

The negative relationship between stock market P/E ratios and government bond yields seems to have become conventional wisdom among practitioners. However, limited empirical evidence and a misleading suggestion that the model originated in the Fed are used to support the model's plausibility. This article argues that the Fed model is flawed from a theoretical standpoint and reports evidence from 20 countries that seriously questions its empirical merits. Despite its widespread use and acceptance, the Fed model is found to be a failure both as a normative and as a positive model of equity pricing.     

The demand for M3 in the euro area

In this paper, an empirically stable money demand model for M3 in the euro area is constructed. Starting with a multivariate system, three cointegrating relationships with economic content are found: (i) the spread between the long‐term and the short‐term nominal interest rates, (ii) the long‐term real interest rate, and (iii) a long‐run demand for broad money M3. There is evidence that the determinants of M3 money demand are weakly exogenous with respect to the long‐run parameters. Hence, following a general‐to‐specific modelling approach, a parsimonious conditional error‐correction model for M3 money demand is derived which can be interpreted economically. For the conditional model, long‐run and short‐run parameter stability is extensively tested and not rejected. Copyright © 2001 John Wiley & Sons, Ltd.     

Revealing the preferences of the US Federal Reserve

We use Bayesian methods to estimate changes in US post‐war monetary policy in the Smets and Wouters model. We perform the estimations by allowing for a break in monetary policy at the time of Volcker's appointment as chairman. This enables us to capture changes in the monetary policy regime introduced by Volcker during the Volcker–Greenspan period. We find support for the assumption that monetary policy in the Volcker–Greenspan period performed optimally under commitment. Our estimation strategy allows us to estimate the preferences of the US Federal Reserve in the Volcker–Greenspan period, where the main objective of policy appears to be inflation, followed by interest rate stabilization, output growth and interest rate smoothing. We find that the Great Moderation of output growth is explained by a combination of two factors: the decrease in the volatility of the structural shocks and the improved monetary policy conduct. Inflation Stabilization, however, is mainly due to the change in monetary policy that took place at the beginning of Volcker's mandate. Copyright © 2010 John Wiley & Sons, Ltd.