This paper documents a new stylized fact of the greater macroeconomic stability of the U.S. economy over the last two decades. Using 131 monthly time series, three popular statistical methods and the forecasts of the Federal Reserve's Greenbook and the Survey of Professional Forecasters, we show...

DSGE models may be misspecified in many dimensions, which can affect their forecasting performance. To correct for these misspecifications we can apply conditional information from other models or judgment. Conditional information is not accurate, and can be provided as a probability...

Since the dawn of the concept of nation-states, many nations have been planning their economies to increase people's prosperity and standard of living. All economies have a centralised feature where decisions are taken. But data collection and plan implementation has been cumbersome because of...

In this paper we introduce a “power booster factor” for out-of-sample tests of predictability. The relevant econometric environment is one in which the econometrician wants to compare the population Mean Squared Prediction Errors (MSPE) of two models: one big nesting model, and another...

The main results of the macro stress testing exercise in this paper reveal that Malaysia's banking sector is resilient, well diversified, and highly interconnected. Further, Malaysia has a thriving equity market, large bond market and growing private debt securities. Main results of the baseline...

The worst two financial crises in human history were in some ways attributable to the US Federal Reserve's misguided monetary policies. Many economists share the view that the Fed's tight-money policy in the late 1920s caused a significant drop in the money stock (i.e. severe contraction) which...

We construct a measure of global liquidity using the growth rates of broad money for the G7 economies. Global liquidity produces forecasts of US inflation that are significantly more accurate than the forecasts based on US money growth, Phillips curve, autoregressive and moving average models....

The literature documents a heterogeneous asset price response to macroeconomic news announcements. We relate this heterogeneity to a novel measure of the intrinsic value of an announcement --- the announcement's ability to nowcast GDP growth, inflation, and the federal funds target rate --- and...

This collection of papers analyzes the versatility and predictive power of survey expectations data in asset pricing and macroeconomic forecasting. The first paper, Using Sentiment Surveys to Predict GDP Growth and Stock Returns sheds new light on the question of whether or not sentiment...

Inflation rates are highly persistent and extremely difficult to predict. Most statistical predictions based on predictive regressions fail to outperform the simple assumption of random walk in out-of-sample testing. The poor out-of-sample performance is a common feature of predictive...