Download or read book Forecasting Economic Activity Using the Yield Curve written by Todd Henry and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Yield Curve and Real Activity written by Zuliu Hu and published by International Monetary Fund. This book was released on 1993-03 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial press frequently suggest that the shape of yield curve reflects information about the prospects of the economy. This paper attempts to formalize the link between the yield curve and the real economic activity. A closed-form formula for the term structure of interest rates is derived. It is shown that the term structure embodies the market’s expectation about changes in the macroeconomic fundamental--the growth in real aggregate output of the economy. The paper then documents the use of bond market data for predicting GDP growth in the G-7 industrial countries. The results suggest that a simple measure of the slope of the yield curve, namely the yield spread, serves as a good predictor of future economic growth. The out-of-sample forecasting performance of the yield spread compares favorably with that of the alternative stock price-based model and a univariate time series (ARMA) model. One practical implication is that it may be useful to add some measure of the term structure to the list of
Download or read book Forecasting Economic Activity from Yield Curve Factors written by Efthymios Argyropoulos and published by . This book was released on 2013 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper provides clear cut evidence that the slope and curvature factors of the yield curve contain more information about future changes in economic activity than the term spread alone, often used in practice as an indicator of future economic conditions. These two factors constitute independent sources of information about future economic activity, which are offset to each other in term spread regressions. The slope factor has predictive power on future economic activity over longer horizons ahead, compared to the curvature factor. The latter improves the forecasting ability of the term spread over shorter or medium horizons. These results hold for a number of world leading economies.
Download or read book Forecasting Real Economic Activity and Recession Using Government and Corporate Bond Yield Curves written by and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Yield Curve As A Forecasting Tool written by Melvin Khomo and published by LAP Lambert Academic Publishing. This book was released on 2010-04 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines the ability of the yield curve to predict recessions in South Africa, and compares its predictive power with other commonly used variables that include the growth rate in real money supply, changes in stock prices and the index of leading economic indicators. The study also makes an attempt to find out if monetary policy explains the yield spread s predictive power with regards to future economic activity. Regarding methodology, the standard probit model proposed by Estrella and Mishkin (1996) that directly estimates the probability of the economy going into recession is used. Results from this model are compared with a modified probit model suggested by Dueker (1997) that includes a lagged dependent variable. Results presented in the paper provide further evidence that the yield curve, as represented by the yield spread between 3-month and 10-year government paper, can be used to estimate the likelihood of recessions in South Africa. The yield spread can produce recession forecasts up to 18 months, although it s best predictive power is seen at two quarters.
Download or read book The Yield Curve s Ability to Forecast Real Economic Activity Levels written by C. E. Radin and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Why Does the Yield Curve Predict Economic Activity written by Frank Smets and published by . This book was released on 1997 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Forecasting Recessions written by and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting Output Using the Entire Yield Curve written by Azamat Abdymomunov and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many studies find that yields for government bonds predict real economic activity. Most of these studies use the yield spread, defined as the difference between two yields of specific maturities, to predict output. In this paper, I propose a different approach that makes use of information contained in the entire term structure of U.S. Treasury yields to predict U.S. real GDP growth. My proposed dynamic yield curve model produces better out-of-sample forecasts of real GDP than those produced by the traditional yield spread model. The main source of this improvement is in the dynamic approach to constructing forecasts versus the direct forecasting approach used in the traditional yield spread model. Although the predictive power of the yield curve for output is concentrated in the yield spread, there is also a gain from using information in the curvature factor for the real GDP growth prediction.
Download or read book The Role of Financial Variables in Predicting Economic Activity in the Euro Area written by Mr.Raphael A. Espinoza and published by International Monetary Fund. This book was released on 2009-11-01 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: The U.S. business cycle typically leads the European cycle by a few quarters and this can be used to forecast euro area GDP. We investigate whether financial variables carry additional information. We use vector autoregressions (VARs) which include the U.S. and the euro area GDPs as a minimal set of variables as well as growth in the Rest of the World (an aggregation of seven small countries) and selected combinations of financial variables. Impulse responses (in-sample) show that shocks to financial variables influence real activity. However, according to out-of-sample forecast exercises using the Root Mean Square Error (RMSE) metric, this macro-financial linkage would be weak: financial indicators do not improve short and medium term forecasts of real activity in the euro area, even when their timely availability, relative to GDP, is exploited. This result is partly due to the 'average' nature of the RMSE metric: when forecasting ability is assessed as if in real time (conditionally on the information available at the time of the forecast), we find that models using financial variables would have been preferred, ex ante, in several episodes, in particular between 1999 and 2002. This result suggests that one should not discard, on the basis of RMSE statistics, the use of predictive models that include financial variables if there is a theoretical prior that a financial shock is affecting growth.
Download or read book Predicting Cycles in Economic Activity written by Jane Haltmaier and published by . This book was released on 2008 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Predicting cycles in economic activity is one of the more challenging but important aspects of economic forecasting. This paper reports the results from estimation of binary probit models that predict the probability of an economy being in a recession using a variety of financial and real activity indicators. The models are estimated for eight countries, both individually and using a panel regression. Although the success of the models varies, they are all able to identify a significant number of recessionary periods correctly"--Federal Reserve Board web site.
Download or read book The Slope and the Curvature of the Yield Curve in Recession Forecasting written by Periklis Gogas and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we investigate the ability of two popular models to forecast the deviation of GDP from its long-run trend, i.e. inflationary and output gaps. In doing so, we exploit the information provided by the yield curve that is documented in the literature as a good predictor of economic activity. We combine and train our forecasting model using interest rates from Treasury Bills and Government Bond rates for the period 1976Q3 to 2011Q4, in conjunction with the quarterly real seasonally adjusted GDP for the same period. Our results show that we can achieve an overall forecasting accuracy of 80% on out-of-sample data. However, our main focus in this paper is to construct a forecasting model for the recessions. Perfect accuracy in recession forecasting is achieved in more than one of the created models. The forecasting performance of our model strengthens the conviction that the yield curve can be a useful and accurate predictive tool.
Download or read book How Stable is the Forecasting Performance of the Yield Curve for Output Growth written by Raffaella Giacomini and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide an extensive evaluation of the predictive performance of the US yield curve for US gross domestic product growth by using new tests for forecast breakdown, in addition to a variety of in-sample and out-of-sample evaluation procedures. Empirical research over the past decades has uncovered a strong predictive relationship between the yield curve and output growth, whose stability has recently been questioned. We document the existence of a forecast breakdown during the BurnsMiller and Volker monetary policy regimes, whereas during the early part of the Greenspan era the yield curve emerged as a more reliable model to predict future economic activity.
Download or read book Forecasting Financial and Economic Cycles written by Michael P. Niemira and published by John Wiley & Sons. This book was released on 1994-02-21 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Niemira and Klein's Forecasting Financial and Economic Cycles reflects this steady progress, chronicling the development of cyclical theory and the tools used to assess, track, and predict this volatility.
Download or read book A Procedure for Predicting Recessions with Leading Indicators written by James H. Stock and published by . This book was released on 1992 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines the forecasting performance of various leading economic indicators and composite indexes since 1988. in particular during the onset of the 1990 recession. The primary focus is on an experimental recession index (tile "XRI"). a composite index which provides probabilistic forecasts of whether the U.S. economy will be in a recession six months hence. After detailing its construction, the paper examines the out-of-sample performance of the XRI and a related forecast of overall economic growth. the experimental leading index (XLI). These indexes performed well from 1988 through the summer of 1990 - for example. in June 1990 the XLI model forecasted a .4% (annual rate) decline in the experimental coincident index from June through September. when in fact the decline was only slightly greater, .8%. However. the XLI failed to forecast the sharp declines of October and November 1990. After exploring several possible explanations. we conclude that one important source of the forecast error was the use of financial variables during a recession that was not associated with a particularly tight monetary policy. Financial indicators -- and the experimental index -- were not alone. however. in failing to forecast the 1990 recession, An examination of 45 economic indicators shows that almost all failed to forecast the 1990downturn. and the few that did provided unclear signals before the recessions of the 19705 and 1980s
Download or read book Forecasting of Macro Aggregates Using Yield Curve Information written by Juan Sebastián Rassa Robayo and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper obtains the forecasts of Colombian macroeconomic variables and the yield curve by jointly modeling their dynamics. For this purpose, I use unrestricted Bayesian Vector Auto Regressive (VAR) models and the no-arbitrage state-space representation developed by Ang and Piazzesi [2003]. Both the Bayesian VAR and the no-arbitrage representations are used to estimate closed economy, small open economy ancl macro-latent factor models. The parameters of the models are estimated with Bayesian techniques for different horizons using the predictive likelihood function. Monthly data between 2006-2012 of the inflation, the overnight-interbank interest rate, an economic activity indicator, the 10-year treasury rate and the 5-year CDS was used The main finding is that the out-of-sample forecasts of the interbank overnight interest rate and the inflation consistently improve when the yield curve is incorporated. Moreover, the models thnt irnpose the no-arbitrage restriction consistently out-perform the unrestrict.ed VARs. On the Other hant, the model wit,h the best. performance in terms of both the RMSE and the standard deviation of the forecasts incorporates closed-economy variables and the short-term yield. Adding longer-term yields and small open economy variables does not appear to improve further the forecasts.
Download or read book Predicting Turning Points in the Interest Rate Cycle RLE Business Cycles written by James W. Coons and published by Routledge. This book was released on 2015-03-24 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1994 and the recipient of the Stonier Library Award, this volume evaluates an alternative approach – the sequential filter- to managing the uncertainty inherent in the future course of the interest rate cycle. The specific hypothesis is that the sequential filter can produce valuable signals of cyclical peaks and troughs in interest rates. The analysis focusses on US interest rates from April 1953 to December 1988.
