In this study we examine the dynamic interactions between credit growth and output growth using the spillover index approach of Diebold and Yilmaz (2012). Based on quarterly data on credit growth and GDP growth over the period 1957Q1-2012Q4 for the G7 countries we find that: i) spillovers...

This paper applies machine learning to forecast business cycles in the German economy using a high-dimensional dataset with 73 indicators, primarily from the OECD Main Economic Indicator Database, covering a time period from 1973 to 2023. Sequential Floating Forward Selection (SFFS) is used to...

This study was prepared by Beate Schirwitz while she was working at the Ifo Institute’s Dresden Branch. It was completed in February 2012 and accepted as a doctoral thesis by the Faculty of Law, Management, and Economics at the Johannes Gutenberg University Mainz in July 2012. It focuses on a...

In this paper, I analyze the causes of the prolonged slowdown of the Japanese economy in the 1990s and find that the stagnation of investment, especially private fixed investment, was the primary culprit. I then investigate the causes of the stagnation of household consumption during the 1990s...

We review and construct consistent in-sample specification and out-of-sample model selection tests on conditional distributions and predictive densities associated with continuous multifactor (possibly with jumps) and (non)linear discrete models of the short term interest rate. The results of...

We examine the statistical power of fundamental and behavioural factors with regards to stock returns of the Dow Jones Industrials Index. With a novel sentiment dataset from over 3.6 million Reuters news articles, we find signifcant correlations between Reuters sentiment and stock returns. We...

Purpose: This article investigates stock return predictability in the Korean stock market using the methodology of dynamic factor analysis. Design/methodology/approach: This article collects monthly data on the equity risk premium on the KOSPI and twelve financial and macroeconomic variables...

In this paper, we analyse how financial market analysts' expectations in the Czech National Bank's Financial Market Inflation Expectations survey perform relative to the random-walk forecast when it comes to predicting five financial variables. Using data from 2001 to 2022, our results indicate...

We analyse micro-level data concerning four financial variables in Sveriges Riksbank's Prospera Survey to evaluate the accuracy of forecasts provided by professionals active in the Swedish fixed-income market. Our results indicate that for the SEK/EUR and SEK/USD exchange rates, and the...

In this paper, we add new evidence to a long-debated macroeconomic question, namely whether money growth has predictive power for inflation or, put differently, whether money growth Granger causes inflation. We use a historical dataset - consisting of annual Swedish data on money growth and...