The nonlinear multidimensional relationship between stock returns and the macroeconomy

We use nonparametric dimension-reduction methods to extract from a set of 15 macroeconomic variables the risk factors that are priced in the stock market. The dominant factor moves with the business cycle but, because it is a nonlinear function of observed macroeconomic variables, it captures a rich set of interactions. Low-credit risk and low-inflationary expectations have a greater positive effect on stock returns when leading macroeconomic indicators are high relative to current economic activity, i.e. early in the business cycle as the economy emerges from recession. High-stock returns also arise in periods when the economy is booming relative to its leading indicators, but such periods tend to portend crashes.     

Forecasting UK consumer price inflation using inflation forecasts

The inflation rate is a key economic indicator for which forecasters are constantly seeking to improve the accuracy of predictions, so as to enable better macroeconomic decision making. Presented in this paper is a novel approach which seeks to exploit auxiliary information contained within inflation forecasts for developing a new and improved forecast for inflation by modeling with Multivariate Singular Spectrum Analysis (MSSA). Unlike other forecast combination techniques, the key feature of the proposed approach is its use of forecasts, i.e. data into the future, within the modeling process and extracting auxiliary information for generating a new and improved forecast. We consider real data on consumer price inflation in UK, obtained via the Office for National Statistics. A variety of parametric and nonparametric models are then used to generate univariate forecasts of inflation. Thereafter, the best univariate forecast is considered as auxiliary information within the MSSA model alongside historical data for UK consumer price inflation, and a new multivariate forecast is generated. We find compelling evidence which shows the benefits of the proposed approach at generating more accurate medium to long term inflation forecasts for UK in relation to the competing models. Finally, through the discussion, we also consider Google Trends forecasts for inflation within the proposed framework.     

Daily market news sentiment and stock prices

In recent years there has been a tremendous growth in readily available news related to traded assets in international financial markets. This financial news is now available through real-time online sources such as Internet news and social media sources. The increase in the availability of financial news and investor’s ease of access to it has a potentially significant impact on market stock price movement as these news items are swiftly transformed into investors sentiment which in turn drives prices. In this study, we use the Thomson Reuters News Analytics (TRNA) data set to construct a series of daily sentiment scores for Dow Jones Industrial Average (DJIA) stock index constituents. We use these daily DJIA market sentiment scores to study the influence of financial news sentiment scores on the stock returns of these constituents using a multi-factor model. We augment the Fama–French three-factor model with the day’s sentiment score along with lagged scores to evaluate the additional effects of financial news sentiment on stock prices in the context of this model using Ordinary Least Square (OLS) and Quantile Regression (QR) to analyse the effect around the tail of the return distribution. We also conduct the analysis using the seven-day simple moving average (SMA) of the scores to account for news released on non-trading days. Our results suggest that even when market factors are taken into account, sentiment scores have a significant effect on Dow Jones constituent returns and that lagged daily sentiment scores are often significant, suggesting that information compounded in these scores is not immediately reflected in security prices and related return series. The results also indicate that the SMA measure does not have a significant effect on the returns. The analysis using Quantile Regression provides evidence that the news has more impact on left tail compared to the right tail of the returns.     

Responses of international stock markets to oil price surges: a regime-switching perspective

We propose an enhanced regime-switching model to investigate the relationships between oil price surges and stock market cycles in five oil-dependent countries. Our model accounts for the joint effects of the West Texas Intermediate (WTI) and Brent oil markets and simultaneously captures asymmetry, volatility persistence and regime shifts contained in the underlying financial data. We find that stock market returns strongly exhibit a regime-switching behaviour, but they react differently to the increases in the price of oil. More precisely, the conditional volatility of studied stock markets during the bear market phases is found to be less affected by oil price surges than during the bull market phases. Whether the effects of oil shocks are positive or negative depends greatly on the degree of reliance on imported oil, the share of the cost of oil in the national income and the degree of improvement in energy efficiency of a given country. Finally, the relatively opposite effects of the WTI and Brent oil markets suggest the potential of substitution between them as well as the necessity of a diversification strategy of oil supply sources.     

Conditional mean functions of non-linear models of US output

We compare a number of models of post War US output growth in terms of the degree and pattern of non-linearity they impart to the conditional mean, where we condition on either the previous period's growth rate, or the previous two periods' growth rates. The conditional means are estimated non-parametrically using a nearest-neighbour technique on data simulated from the models. In this way, we condense the complex, dynamic, responses that may be present in to graphical displays of the implied conditional mean. First version received: Feb. 1999/Final version received: June 2001     

Pro-cyclical effect of sovereign rating changes on stock returns: a fact or factoid?

This article examines the effect of changes in sovereign credit ratings and their outlook on the stock market returns of European countries at different phases of business cycle. Using standard four-factor model, it records a significant average marginal effect of credit rating announcements on stock market returns. Both magnitude and significance of the effect vary with business cycle and across announcement types. However, we do not find evidence of pro-cyclical effect of sovereign rating and outlook changes on stock returns. Our results show that stock markets react more negatively to rating downgrades in recovery phases and more positively to rating upgrades in contractionary period. Both results are statistically significant and robust to various sensitivity tests.     

Ex ante forecasts of business-cycle turning points

This paper presents a logit model that accurately forecasts business-cycle turning points with a lead of one-quarter. The sample period consists of an initialization subset (1959:Q3–1975:Q4), and a subset for out-of-sample forecast evaluation (1976:Q1–2005:Q4). In contrast with the record of disappointing results in the literature, the model correctly forecasts all turning points in the test subset without forecasting recessions that did not occur.      

New directions in business cycle research and financial analysis

This paper serves as a partial introduction to and survey of the literature on Markov-switching models. We review the history of this class of models, describe their mathematical structure, and exposit the basic ideas behind estimation and inference. The paper also describes how the approach can be extended in a variety of directions, such as non-Gaussian distributions, time-varying transition probabilities, vector processes, state-space and GARCH models, and surveys recent methodological advances. The contributions of the other papers in this volume are reviewed. A final section offers conclusions and implications for policy. First Version Received: August 2001/Final Version Received: October 2001     

Monetary policy and real wage cyclicality

This article points to the potential role of monetary policy in affecting the degree of real wage cyclicality. We show that the degree and direction of real wage cyclicality is determined by the interaction of (i) the returns to scale in production, (ii) the nature of aggregate shocks and (iii) monetary policy. Given that production technology is fairly constant in the short run, we suggest that variations in the real wage – output covariance depend largely on the combination of the latter two. Identifying well-documented monetary policy phases in six major Organization for Economic Co-operation and Development (OECD) countries and accounting for both aggregate demand and supply shocks, we provide empirical evidence to support our main theoretical claim.     

试析人民币对外升值与对内贬值并存

Since 2002, RMB has shown a phenomenon which is the co-existence of the external appreciation and the domestic inflation. This new monetary phenomenon has been strengthened in the context that US dollar depreciates internationally and that domestic economy is overwhelmed with excessive liquidities. The new monetary phenomenon is the reflection of the real economy that continuing trade surplus, triggered robustly by the export-driven economy, which brings a huge amount of foreign exchange reserve and accelerates sequentially the expansion of domestic money supply. Furthermore, a refrained appreciation of RMB tends to deteriorate the domestic inflation, which is not simply a traditional concept of CPI but a broad inflation parameter including a variety of asset prices. It is sure that the new phenomenon is becoming a new challenge to the macroeconomic equilibrium as well as the decision maker of monetary policy. __________ Translated from Jingji yanjiu 经济研究 (Economic Research Journal), 2007, (9): 32–48     

Pareto improving price regulation when the asset market is incomplete

Summary. Incomplete asset markets cause competitive equilibria to be constrained suboptimal and provides scope for Pareto improving interventions. In this paper, we examine how intervention in prices in asset or spot commodity markets serves this purpose. We show that, if fix-price equilibria behave sufficiently regularly near Walrasian equilibria, Pareto improving price regulation is generically possible. An advantage of price regulation, contrasted with interventions in individuals asset portfolios, is that it operates anonymously, on market variables.Received: 12 August 2002, Revised: 10 July 2003, JEL Classification Numbers: D45, D52, D60.Earlier and longer versions were circulated as Discussion Paper No. 9841 (June, 1998), CORE, Université Catholique de Louvain, and Working Paper No. 01-31 (2001), Department of Economics, Brown University.The research of Herings was made possible by a fellowship of the Royal Netherlands Academy of Arts and Sciences and a grant of the Netherlands Organization for Scientific Research (NWO); while this paper was being written, he enjoyed the generous hospitality of the Cowles Foundation.John Geanakoplos and Hamid Sabourian asked questions that clarified a number of points in earlier drafts of the paper. An anonymous referee made comments that were insightful and helpful.     

Impact of oil price shocks on output,inflation and the real exchange rate: evidence from selected ASEAN countries

This article analyses the impact of oil price shocks on real output, inflation and the real exchange rate in Thailand, Malaysia, Singapore, the Philippines and Indonesia (ASEAN-5) using a Structural VAR model. The cointegration tests indicate that the macroeconomic variables of these countries are cointegrated and share common trends in the long run. The impulse response functions reveal that oil price fluctuations do not impact the ASEAN-5 economies in the long run and much of its effect is absorbed within five to six quarters. The variance decomposition results further assert that with a few exceptions oil price shocks do not explain a significant variation in any of the variables under consideration. We also identify a very unique pattern of response to oil price fluctuations between Malaysia and Singapore and between the Philippines and Thailand. The pairs exhibit a high degree of similarity in their responses; they do not share any commonalities across the group.     

Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

The effect of remittances prior to an election

The objective of the article is to assess whether remittances have an influence on political manipulation, which may occur prior to an election, through an increase in the government consumption-to-GDP ratio. We combine data from the National Elections across Democracy and Autocracy data set compiled and discussed in Hyde and Marinov (2012) and the World Development Indicators data set. We focus on 70 developing countries over the period 1990–2010. It appears that the political budget cycle is reduced up to the point where it is fully cancelled out at a remittance threshold of 10.7% of GDP. Those findings are robust to different robustness checks.     

Global capital markets and the impact of changes in the money stock on real activity

Reduced-form empirical work on the impact of monetary change on real activity has implicitly assumed the absence of a capital market. Such a market will cause identification problems in discrimination between the impact of unanticipated monetary change or the impact of nominal shocks on real activity.     

Beware of the crash risk: Tail beta and the cross-section of stock returns in China

We investigate the pricing of systematic tail risk measured by tail beta in the Chinese equity market. Using an array of tests, we examine the performance of more than 3,300 stocks for the years 1999 through 2018. Contrary to evidence from developed markets, we demonstrate a strong negative relationship between the tail beta and future returns. The effect is robust to many considerations and cannot be explained by established pricing factors or alternative risk or illiquidity measures. We link our findings to specific characteristics of the Chinese stock market.     

Winner-take-all price competition

Summary. We analyze an oligopoly model of homogeneous product price competition that allows for discontinuities in demand and/or costs. Conditions under which only zero profit equilibrium outcomes obtain in such settings are provided. We then illustrate through a series of examples that the conditions provided are “tight” in the sense that their relaxation leads to positive profit outcomes. Received: April 7, 2000; revised version: September 14, 2000     

Financial price fluctuations in a stock market model with many interacting agents

Summary. We consider a financial market model with a large number of interacting agents. Investors are heterogeneous in their expectations about the future evolution of an asset price process. Their current expectation is based on the previous states of their neighbors and on a random signal about the mood of the market. We analyze the asymptotics of both aggregate behavior and asset prices. We give sufficient conditions for the distribution of equilibrium prices to converge to a unique equilibrium, and provide a microeconomic foundation for the use of diffusion models in the analysis of financial price fluctuations.Received: 16 April 2003, Revised: 1 March 2004, JEL Classification Numbers: D40, D84, G10.I thank Peter Bank, Dirk Becherer, Hans Föllmer, Peter Leukert, José Scheinkman, Alexander Schied, Ching-Tang Wu, and seminar participants at various institutions for many suggestions and discussions. Thanks are due to two anonymous referees and the editor, C.D. Aliprantis, for valuable comments which helped to improve the presentation of the results. Financial support of Deutsche Forschungsgemeinschaft via SFB 373, Quantification and Simulation of Economic Processes, Humboldt-Universität zu Berlin, and DFG Research Center Mathematics for Key Technologies (FZT 86) is gratefully acknowledged.     

Detrending methods and stylized facts of business cycles in Norway – an international comparison

This paper analyses the stylized facts of business cycles in Norway, by comparing different detrending methods. As the choice of the appropriate data transformation depends on the nature of the underlying dynamic properties of the time series, a set of unit root tests are first applied to the data. The detrended data are analysed, both in the time domain and the frequency domain. The evidence suggests that whereas some variables (e.g. consumption and investment) behave consistently procyclically with GDP, for other variables (e.g. real wage and prices), the business cycle properties vary considerably with the detrending methods used. The results are evaluated from a real business cycle perspective, but overall, there is little evidence to support a (supply driven) real business cycle. Symmetries in business cycles are finally analysed by comparing the business cycles in Norway and selected countries. First version received: April 1997 / Final version received: November 1999