This paper investigates the predictive power for future domestic economic activity included in domestic stock prices, using a Granger causality analysis in the frequency domain. We are able to evaluate whether the predictive power is concentrated at the slowly fluctuating components or at the quickly fluctuating components. Using quarterly data for the G-7 countries, we found that the slowly fluctuating components of the stock prices have large predictive power for the future GDP, while this is not the case for the quickly fluctuating components. This finding holds both in a single-country setting and in a multi-country setting. Therefore, macro-economic policy makers could use the slowly fluctuating components of the stock prices to improve their predictions of the future GDP.
{"title":"Do Stock Prices Contain Predictive Power for the Future Economic Activity? A Granger Causality Analysis in the Frequency Domain","authors":"Christophe Croux, P. Reusens","doi":"10.2139/ssrn.1967024","DOIUrl":"https://doi.org/10.2139/ssrn.1967024","url":null,"abstract":"This paper investigates the predictive power for future domestic economic activity included in domestic stock prices, using a Granger causality analysis in the frequency domain. We are able to evaluate whether the predictive power is concentrated at the slowly fluctuating components or at the quickly fluctuating components. Using quarterly data for the G-7 countries, we found that the slowly fluctuating components of the stock prices have large predictive power for the future GDP, while this is not the case for the quickly fluctuating components. This finding holds both in a single-country setting and in a multi-country setting. Therefore, macro-economic policy makers could use the slowly fluctuating components of the stock prices to improve their predictions of the future GDP.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133663904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-02-11DOI: 10.1111/j.1467-9485.2011.00541.x
Sarah M. Lein, Thomas Maag
This paper investigates how households form their perceptions of consumer price inflation. Using data from the harmonized EU consumer survey, we find that inflation perceptions are inefficient and highly heterogeneous, yet contemporaneously related to the actual rate of inflation. Consequently, we estimate how often households update their beliefs employing Carroll's (2003) epidemiological model. Our results indicate that inflation perceptions are generally less responsive to new information than expectations. Unlike studies on expectations, we cannot confirm that a constant fraction of the population updates information every month. Also, the cross-sectional heterogeneity of perceptions is higher than implied by infrequent updating alone.
{"title":"The Formation of Inflation Perceptions: Some Empirical Facts for European Countries","authors":"Sarah M. Lein, Thomas Maag","doi":"10.1111/j.1467-9485.2011.00541.x","DOIUrl":"https://doi.org/10.1111/j.1467-9485.2011.00541.x","url":null,"abstract":"This paper investigates how households form their perceptions of consumer price inflation. Using data from the harmonized EU consumer survey, we find that inflation perceptions are inefficient and highly heterogeneous, yet contemporaneously related to the actual rate of inflation. Consequently, we estimate how often households update their beliefs employing Carroll's (2003) epidemiological model. Our results indicate that inflation perceptions are generally less responsive to new information than expectations. Unlike studies on expectations, we cannot confirm that a constant fraction of the population updates information every month. Also, the cross-sectional heterogeneity of perceptions is higher than implied by infrequent updating alone.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116166453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper provides evidence on the extent to which inflation expectations generated by a standard Christiano et al. (2005)/Smets and Wouters (2003)?type DSGE model are in line with what is observed in the data. We consider three variants of this model that differ in terms of the behavior of, and the public?s information on, the central banks? inflation target, allegedly a key determinant of inflation expectations. We find that: 1) time-variation in the inflation target is needed to capture the evolution of expectations during the post-Volcker period; 2) the variant where agents have imperfect information is strongly rejected by the data; 3) inflation expectations appear to contain information that is not present in the other series used in estimation; and 4) none of the models fully captures the dynamics of this variable.
本文提供了证据，证明了标准的通货膨胀预期在多大程度上是由Christiano et al. (2005)/Smets and Wouters (2003)?DSGE型模型与观测数据相符。我们考虑这个模型的三种变体，它们在公众行为方面有所不同。中央银行的信息?通胀目标，据称是通胀预期的关键决定因素。我们发现:1)需要通货膨胀目标的时间变化来捕捉后沃尔克时期预期的演变;2) agent信息不完全的变体被数据强烈拒绝;3)通货膨胀预期似乎包含了在估计中使用的其他序列中不存在的信息;4)没有一个模型完全捕捉到这个变量的动态。
{"title":"Fitting Observed Inflation Expectations","authors":"Marco Del Negro, Stefano Eusepi","doi":"10.2139/ssrn.1719098","DOIUrl":"https://doi.org/10.2139/ssrn.1719098","url":null,"abstract":"This paper provides evidence on the extent to which inflation expectations generated by a standard Christiano et al. (2005)/Smets and Wouters (2003)?type DSGE model are in line with what is observed in the data. We consider three variants of this model that differ in terms of the behavior of, and the public?s information on, the central banks? inflation target, allegedly a key determinant of inflation expectations. We find that: 1) time-variation in the inflation target is needed to capture the evolution of expectations during the post-Volcker period; 2) the variant where agents have imperfect information is strongly rejected by the data; 3) inflation expectations appear to contain information that is not present in the other series used in estimation; and 4) none of the models fully captures the dynamics of this variable.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117044660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper investigates the possibility of constructing a composite leading indicator (CLI) of Tunisian inflation. For doing so, partial information about future inflation rate provided by a number of basic series is analyzed first. Based on the correlation analysis, a few of these basic series are chosen for construction of composite indicator. Empirical results show that the deviation from long‐term trend of two monetary aggregates (M1 and M3), short‐term interest rate (TMM), real effective exchange rate and crude petroleum production, are important leading indicators for inflation rate in Tunisia. Accordingly, based on monthly data on these basic series, one composite indicator is constructed and its performance is assessed by using turning point analysis, granger causality tests, and impulse response functions. The results indicate that our composite indicator is useful in anticipating changes in inflation rates in Tunisia.
{"title":"A Composite Leading Indicator of Tunisian Inflation","authors":"Mohamed Daly Sfia","doi":"10.2139/ssrn.1649483","DOIUrl":"https://doi.org/10.2139/ssrn.1649483","url":null,"abstract":"This paper investigates the possibility of constructing a composite leading indicator (CLI) of Tunisian inflation. For doing so, partial information about future inflation rate provided by a number of basic series is analyzed first. Based on the correlation analysis, a few of these basic series are chosen for construction of composite indicator. Empirical results show that the deviation from long‐term trend of two monetary aggregates (M1 and M3), short‐term interest rate (TMM), real effective exchange rate and crude petroleum production, are important leading indicators for inflation rate in Tunisia. Accordingly, based on monthly data on these basic series, one composite indicator is constructed and its performance is assessed by using turning point analysis, granger causality tests, and impulse response functions. The results indicate that our composite indicator is useful in anticipating changes in inflation rates in Tunisia.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123786439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the most robust stylized facts in macroeconomics is the forecasting power of the term spread for future real activity. The economic rationale for this forecasting power usually appeals to expectations of future interest rates, which affect the slope of the term structure. In this paper, we propose a possible causal mechanism for the forecasting power of the term spread, deriving from the balance sheet management of financial intermediaries. When monetary tightening is associated with a flattening of the term spread, it reduces net interest margin, which in turn makes lending less profitable, leading to a contraction in the supply of credit. We provide empirical support for this hypothesis, thereby linking monetary cycles, financial cycles, and the business cycle.
{"title":"Monetary Cycles, Financial Cycles and the Business Cycle","authors":"T. Adrian, A. Estrella, H. Shin","doi":"10.2139/ssrn.1532309","DOIUrl":"https://doi.org/10.2139/ssrn.1532309","url":null,"abstract":"One of the most robust stylized facts in macroeconomics is the forecasting power of the term spread for future real activity. The economic rationale for this forecasting power usually appeals to expectations of future interest rates, which affect the slope of the term structure. In this paper, we propose a possible causal mechanism for the forecasting power of the term spread, deriving from the balance sheet management of financial intermediaries. When monetary tightening is associated with a flattening of the term spread, it reduces net interest margin, which in turn makes lending less profitable, leading to a contraction in the supply of credit. We provide empirical support for this hypothesis, thereby linking monetary cycles, financial cycles, and the business cycle.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127233270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using OECD composite leading indicators (CLI), we assess empirically whether the ability of the country- specific CLIs to predict economic activity has diminished in recent years, e.g. due to rapid advances in globalisation. Overall, we find evidence that the CLI encompasses useful information for forecasting industrial production, particularly over horizons of four to eight months ahead. The evidence is particularly strong when taking cointegration relationships into account. At the same time, we find indications that the forecast accuracy has declined over time for several countries. Augmenting the country-specific CLI with a leading indicator of the external environment and employing forecast combination techniques improves the forecast performance for several economies. Over time, the increasing importance of international dependencies is documented by relative performance gains of the extended model for selected countries. JEL Classification: C53, E32, E37, F47
{"title":"Leading Indicators in a Globalised World","authors":"Ferdinand Fichtner, Rasmus Rueffer, Bernd Schnatz","doi":"10.2139/ssrn.1516168","DOIUrl":"https://doi.org/10.2139/ssrn.1516168","url":null,"abstract":"Using OECD composite leading indicators (CLI), we assess empirically whether the ability of the country- specific CLIs to predict economic activity has diminished in recent years, e.g. due to rapid advances in globalisation. Overall, we find evidence that the CLI encompasses useful information for forecasting industrial production, particularly over horizons of four to eight months ahead. The evidence is particularly strong when taking cointegration relationships into account. At the same time, we find indications that the forecast accuracy has declined over time for several countries. Augmenting the country-specific CLI with a leading indicator of the external environment and employing forecast combination techniques improves the forecast performance for several economies. Over time, the increasing importance of international dependencies is documented by relative performance gains of the extended model for selected countries. JEL Classification: C53, E32, E37, F47","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124122225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper is concerned with the apparent change in the U.S. oil price-macroeconomy relationship. It is investigated to what extent this change can be accounted for by the large oil price surges witnessed in the 1970s. The innovative approach of rolling impulse responses is applied and both the aggregate and the industry-level is considered. It is found that the first oil crisis has an “persistent” effect in the sense that this incident still dominates long-run results and superimposes both subsample and industry-specifics. The results, furthermore, suggest that the Great Moderation can essentially be explained by the non-occurrence of large oil shocks after the mid 1980s and that oil is less important for the economy than many researchers still believe.
{"title":"Investigating the U.S. Oil-Macroeconomy Nexus Using Rolling Impulse Responses","authors":"M. Gronwald","doi":"10.2139/ssrn.1433675","DOIUrl":"https://doi.org/10.2139/ssrn.1433675","url":null,"abstract":"This paper is concerned with the apparent change in the U.S. oil price-macroeconomy relationship. It is investigated to what extent this change can be accounted for by the large oil price surges witnessed in the 1970s. The innovative approach of rolling impulse responses is applied and both the aggregate and the industry-level is considered. It is found that the first oil crisis has an “persistent” effect in the sense that this incident still dominates long-run results and superimposes both subsample and industry-specifics. The results, furthermore, suggest that the Great Moderation can essentially be explained by the non-occurrence of large oil shocks after the mid 1980s and that oil is less important for the economy than many researchers still believe.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133015192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Bénassy-Quéré, Yvan Decreux, L. Fontagné, David Khoudour-Castéras
Much attention has been paid to the sharp fall in world trade associated with the economic crisis during the last quarter of 2008 and the first quarter of 2009. Alarming forecasts have been published for the whole year of 2009 and several explanations have been offered. In particular, beyond the credit crunch and the global drop in demand, it has been argued that, due to globalisation and the fragmentation of supply chains, world trade will inevitably overshoot the shock in world GDP. We contest this view using both simple accounting calculations and a simulation of the multi-region, multi-sector Computable General Equilibrium (CGE) model, which explicitly models input-output relations within and between sectors. Using the CGE MIRAGE, we ask whether the most recent forecasts of GDP change, together with a twist in the composition of demand (to the detriment of capital goods), a halt in the trend towards the reduction in trade costs and a collapse in the oil price can replicate a very similar multiplier effect on world trade to that currently being experienced. Firstly, we find that, when trade flows are deflated by the price of the world GDP, the order of magnitude for trade decline in 2009 is 8.9 percent in our exercise. However, when trade flows are deflated by the sector-specific trade prices computed by the model, the drop in world trade is much more limited (-2.4 percent). Hence a large part of the fall in trade predicted by the model comes from a relative price effect. Secondly, while this fall is still more than the –1.3% drop in world GDP forecast by the IMF in April 2009, even this magnification effect disappears when GDPs are aggregated using current exchange rates, which is the appropriate reference, rather than PPP weights. Thirdly, while, our paper does not support the hypothesis of a systematic over-shooting of trade due to globalisation and the fragmentation of supply chains, it seems likely that additional factors such as the credit shortage must have played a role in the short run to explain the sharp fall in world trade.
{"title":"Economic Crisis and Global Supply Chains","authors":"A. Bénassy-Quéré, Yvan Decreux, L. Fontagné, David Khoudour-Castéras","doi":"10.2139/ssrn.1588946","DOIUrl":"https://doi.org/10.2139/ssrn.1588946","url":null,"abstract":"Much attention has been paid to the sharp fall in world trade associated with the economic crisis during the last quarter of 2008 and the first quarter of 2009. Alarming forecasts have been published for the whole year of 2009 and several explanations have been offered. In particular, beyond the credit crunch and the global drop in demand, it has been argued that, due to globalisation and the fragmentation of supply chains, world trade will inevitably overshoot the shock in world GDP. We contest this view using both simple accounting calculations and a simulation of the multi-region, multi-sector Computable General Equilibrium (CGE) model, which explicitly models input-output relations within and between sectors. Using the CGE MIRAGE, we ask whether the most recent forecasts of GDP change, together with a twist in the composition of demand (to the detriment of capital goods), a halt in the trend towards the reduction in trade costs and a collapse in the oil price can replicate a very similar multiplier effect on world trade to that currently being experienced. Firstly, we find that, when trade flows are deflated by the price of the world GDP, the order of magnitude for trade decline in 2009 is 8.9 percent in our exercise. However, when trade flows are deflated by the sector-specific trade prices computed by the model, the drop in world trade is much more limited (-2.4 percent). Hence a large part of the fall in trade predicted by the model comes from a relative price effect. Secondly, while this fall is still more than the –1.3% drop in world GDP forecast by the IMF in April 2009, even this magnification effect disappears when GDPs are aggregated using current exchange rates, which is the appropriate reference, rather than PPP weights. Thirdly, while, our paper does not support the hypothesis of a systematic over-shooting of trade due to globalisation and the fragmentation of supply chains, it seems likely that additional factors such as the credit shortage must have played a role in the short run to explain the sharp fall in world trade.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129935791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Exxon Mobil and ConocoPhillips stock price has been predicted using the difference between core and headline CPI in the United States. Linear trends in the CPI difference allow accurate prediction of the prices at a five to ten-year horizon.
{"title":"ConocoPhillips and Exxon Mobil Stock Price","authors":"I. Kitov","doi":"10.2139/ssrn.1407622","DOIUrl":"https://doi.org/10.2139/ssrn.1407622","url":null,"abstract":"Exxon Mobil and ConocoPhillips stock price has been predicted using the difference between core and headline CPI in the United States. Linear trends in the CPI difference allow accurate prediction of the prices at a five to ten-year horizon.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130984422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marie Adanero-Donderis, Olivier Darné, Laurent Ferrara
This paper proposes two new coincident probabilistic cyclical indicators developed by the Bank of France in order to follow, on a monthly basis, the French economic activity. The first one is an indicator which aims at detecting the turning points of the acceleration cycle while the second one is dedicated to the follow-up of recession phases in the industrial sector. Both indicators are based on the methodology of Markov-Switching models and use only for input the Bank of France monthly business survey. An historical validation since 1998 points out to the interest and the complementarity of both indicators for the short-term economic diagnosis. This kind of indicators provides with an original and additional conjonctural qualitative information by comparison with more classical quantitative tools aiming at estimating the GDP growth rate.
{"title":"Two Probabilistic Cyclical Turning Point Indicators for the French Economy (Deux Indicateurs Probabilistes de Retournement Cyclique Pour L’Économie Française) (French)","authors":"Marie Adanero-Donderis, Olivier Darné, Laurent Ferrara","doi":"10.2139/SSRN.1688956","DOIUrl":"https://doi.org/10.2139/SSRN.1688956","url":null,"abstract":"This paper proposes two new coincident probabilistic cyclical indicators developed by the Bank of France in order to follow, on a monthly basis, the French economic activity. The first one is an indicator which aims at detecting the turning points of the acceleration cycle while the second one is dedicated to the follow-up of recession phases in the industrial sector. Both indicators are based on the methodology of Markov-Switching models and use only for input the Bank of France monthly business survey. An historical validation since 1998 points out to the interest and the complementarity of both indicators for the short-term economic diagnosis. This kind of indicators provides with an original and additional conjonctural qualitative information by comparison with more classical quantitative tools aiming at estimating the GDP growth rate.","PeriodicalId":445951,"journal":{"name":"ERN: Forecasting & Simulation (Prices) (Topic)","volume":"129 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116706986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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