How sensitive are consumer expenditures to retail energy prices?

There is growing evidence that the primary effect of energy price shocks on the U.S. economy involves a reduction in consumer spending. We quantify the direct effect on real consumption of unanticipated changes in discretionary income, shifts in precautionary savings, and changes in the operating cost of energy-using durables. The possibility of asymmetries in the response of real consumption to energy price shocks is also considered. We demonstrate that linear models are consistent with the symmetric behavior of real consumption in 1979 (when energy prices increased sharply) and in 1986 (when they fell sharply). It is shown that historically energy price shocks have been an important factor in explaining U.S. real consumption growth, but by no means the dominant factor.     

Determinants of Consumption and Savings Behavior in Developing Countries

The determinants of savings generally and the specific effectsof government policies on savings and consumption are pivotalforces in investment and economic growth. The Hall hypothesisstates that consumption is a function of lifetime ("permanent")income, rather than income in each period independently. Changesin interest and tax rates, money supply, or government expenditurewill affect permanent income and hence consumption and savingsonly if they are unexpected and thus not already incorporatedin the estimation of permanent income. We are unable to rejectthe Hall hypothesis in tests for developing countries when weallow for varying interest rates. We do find evidence of a negativeeffect of inflation on consumption, and a positive relationshipbetween the real interest rate and consumption. The evidencefor the Hall hypothesis also suggests that Ricardian equivalencemay be valid—this is Barro's hypothesis that the effecton savings is the same whether government deficits are financedthrough taxation or debt. Our preliminary testing, however,does not support Ricardian equivalence.     

The Time‐Varying Volatility of Earnings and Aggregate Consumption Growth

Time‐varying specifications for the conditional variance of earnings of U.S. households are estimated with micro data over the period 1968–92. The cross‐sectional mean of the estimated time‐varying uncertainty of individual households has a significant impact on aggregate consumption growth. As such, aggregate precautionary savings may be more important than what is suggested by the results of estimating standard regression equations for aggregate consumption growth that incorporate only lagged income growth and the real interest rate. The estimation of a buffer stock consumption model with time‐varying earnings uncertainty suggests that the precautionary savings motive is cyclical and has become less important in the 1980s.     

The Term Structure as a Predictor of Real Economic Activity

A positive slope of the yield curve is associated with a future increase in real economic activity: consumption (nondurables plus services), consumer durables, and investment. It has extra predictive power over the index of leading indicators, real short-term interest rates, lagged growth in economic activity, and lagged rates of inflation. It outperforms survey forecasts, both in-sample and out-of-sample. Historically, the information in the slope reflected, inter alia, factors that were independent of monetary policy, and thus the slope could have provided useful information both to private investors and to policy makers.     

The Slow Adjustment of Aggregate Consumption to Permanent Income

This paper investigates the relationship between aggregate consumption and permanent income using a new approach to the estimation of cointegrated systems that builds on Stock and Watson's common stochastic trends representation. The permanent and transitory movements in aggregate income and consumption are estimated directly using the Kalman filter and are allowed to be correlated. This approach avoids any implicit restriction that permanent income be as smooth as consumption. Instead, permanent income appears to be relatively volatile, with consumption adjusting toward it only slowly over time. These results provide a clear rejection of the standard version of the permanent income hypothesis and are suggestive of alternative theories of consumption behavior such as habit formation or precautionary savings.     

Consumer credit-risk models via machine-learning algorithms

We apply machine-learning techniques to construct nonlinear nonparametric forecasting models of consumer credit risk. By combining customer transactions and credit bureau data from January 2005 to April 2009 for a sample of a major commercial bank’s customers, we are able to construct out-of-sample forecasts that significantly improve the classification rates of credit-card-holder delinquencies and defaults, with linear regression R²’s of forecasted/realized delinquencies of 85%. Using conservative assumptions for the costs and benefits of cutting credit lines based on machine-learning forecasts, we estimate the cost savings to range from 6% to 25% of total losses. Moreover, the time-series patterns of estimated delinquency rates from this model over the course of the recent financial crisis suggest that aggregated consumer credit-risk analytics may have important applications in forecasting systemic risk.     

Generalizing the permanent-income hypothesis: Revisiting Friedman's conjecture on consumption

Friedman's contribution to the consumption literature goes well beyond the seminal permanent-income hypothesis. He conjectured that the marginal propensity to consume out of financial wealth shall be larger than out of “human wealth”, the present discounted value of future labor income. I present an explicitly solved model to deliver this widely noted consumption property by specifying that the conditional variance of changes in income increases with its level. A larger realization of income not only implies a higher level of human wealth, but also signals a riskier stream of future labor income, inducing a higher precautionary saving, and thus giving rise to Friedman's conjecture. Appropriately adjusting human wealth for income risk, I show that Friedman's conjecture may be formulated as a “generalized” permanent income hypothesis. I further show that Friedman's conjecture captures the first-order effect of stochastic precautionary savings. Finally, I propose a natural decomposition of the optimal saving rule to formalize various motives for holding wealth as emphasized in [Friedman, M., 1957. A Theory of the Consumption Function. Princeton University Press, Princeton].     

预测中国宏观经济变量:专家与模型的组合预测

本文使用组合预测方法,探究以“朗润预测”为代表的专家预测以及计量模型对于中国宏观经济变量的预测效果,并研究对不同预测进行组合预测是否有助于改进预测效果。本文发现,对我国CPI和GDP的增长率,专家预测效果总体上优于模型预测。从原因看,一方面,专家在预测时已经考虑了计量模型的预测信息;另一方面,在经济出现“拐点”的时期,专家通过对实际经济环境和政策的把握,得出更准确的经济预测。组合预测有助于提升预测精度,对专家预测进行组合得到的预测效果优于大多数的专家预测,“模型—专家”组合预测的效果也优于所有的模型和大部分专家预测。     

The predictability of aggregate returns on commodity futures

This paper provides evidence that aggregate returns on commodity futures (without the returns on collateral) are predictable, both in-sample and out-of-sample, by various lagged variables from the stock market, bond market, macroeconomics, and the commodity market. Out of the 32 candidate predictors we consider, we find that investor sentiment is the best in-sample predictor of short-horizon returns, whereas the level and slope of the yield curve have much in-sample predictive power for long-horizon returns. We find that it is possible to forecast aggregate returns on commodity futures out-of-sample through several combination forecasts (the out-of-sample return forecasting R² is up to 1.65% at the monthly frequency).     

Consumer attitudes,stock market liquidity,and the macro economy: A Canadian perspective

This study addresses the impact of equity market liquidity on Canadian economic growth and investigates how consumer attitudes/sentiments affect the dynamic macro-liquidity relationship. Using various market liquidity proxies (e.g., illiquidity ratio and open interest of equity futures) while controlling for a specific set of variables, we obtain the following main results: we document the predictability role of liquidity on future economic growth, and we find that during periods of high exchange-rate volatility between the Canadian and US dollars, growth becomes highly affected by stock-market liquidity movements. Furthermore, there is some evidence that stock market liquidity contains additional information for estimating the future state of the economy but is conditional on periods of higher positive consumer attitudes—specifically, consumer confidence in the economy. Additionally, we find strong evidence consistently supporting the premise that a positive change in general consumer sentiment exhibits a direct and significant effect on some macro-economic variables including personal consumption, consumer credit, and economic growth.     

The Impact of Deregulation and Financial Innovation on Consumers: The Case of the Mortgage Market

We develop a technique to assess the impact of changes in mortgage markets on households, exploiting an implication of the permanent income hypothesis: The higher a household's expected future income, the higher its desired consumption, ceteris paribus. With perfect credit markets, desired consumption matches actual consumption and current spending forecasts future income. Because credit market imperfections mute this effect, the extent to which house spending predicts future income measures the "imperfectness" of mortgage markets. Using micro-data, we find that since the early 1980s, mortgage markets have become less imperfect in this sense, and securitization has played an important role.     

The information content of option-implied information for volatility forecasting with investor sentiment

This study explores the effect of investor sentiment on the volatility forecasting power of option-implied information. We find that the risk-neutral skewness has the explanatory power regarding future volatility only during high sentiment periods. Furthermore, the implied volatility has varying volatility forecasting ability depending on the level of investor sentiment. Our findings suggest that the effectiveness of volatility forecasting models based on option-implied information varies over time with the level of investor sentiment. We confirm the important role of investor sentiment in volatility forecasting models exploiting option-implied information with strong evidence from in-sample and out-of-sample analyses. We also present improvements in the accuracy of volatility forecasts from volatility forecasting models derived by incorporating investor sentiment in these models.     

消费信贷与家庭人力资本投资

已有丰富的文献考察了消费信贷对家庭消费和投资行为的影响，但少有研究关注其对家庭人力资本投资的影响。家庭人力资本投资对于人力资本积累、经济高质量发展至关重要。基于此，本文考察了信用卡使用对家庭人力资本投资的影响及其影响机制，主要发现如下：信用卡使用显著增加了家庭人力资本投资，且这一效应具有长期动态影响并对城市、高收入、高教育程度家庭影响更为显著，这意味着信用卡消费信贷可能会增加人力资本不平等。进一步研究发现，家庭会增加劳动力供给来应对人力资本支出的增加。机制分析表明，信用卡使用主要通过增加家庭消费投资、促进消费升级、缓解家庭预算约束三种途径促进家庭人力资本投资。在风险可控的前提下，引导消费信贷流向有利于实体经济发展的领域，可助力于消费升级与人力资本积累，从而为经济发展提供新动能。     

Investor sentiment and stock returns: Some international evidence

We examine whether consumer confidence – as a proxy for individual investor sentiment – affects expected stock returns internationally in 18 industrialized countries. In line with recent evidence for the U.S., we find that sentiment negatively forecasts aggregate stock market returns on average across countries. When sentiment is high, future stock returns tend to be lower and vice versa. This relation also holds for returns of value stocks, growth stocks, small stocks, and for different forecasting horizons. Finally, we employ a cross-sectional perspective and provide evidence that the impact of sentiment on stock returns is higher for countries which have less market integrity and which are culturally more prone to herd-like behavior and overreaction.     

Asset volatility

We examine whether fundamental measures of volatility are incremental to market-based measures of volatility in (i) predicting bankruptcies (out of sample), (ii) explaining cross-sectional variation in credit spreads, and (iii) explaining future credit excess returns. Our fundamental measures of volatility include (i) historical volatility in profitability, margins, turnover, operating income growth, and sales growth; (ii) dispersion in analyst forecasts of future earnings; and (iii) quantile regression forecasts of the interquartile range of the distribution of profitability. We find robust evidence that these fundamental measures of volatility improve out-of-sample forecasts of bankruptcy and help explain cross-sectional variation in credit spreads. This suggests that an analysis of credit risk can be enhanced with a detailed analysis of fundamental information. As a test case of the benefit of volatility forecasting, we document an improved ability to forecast future credit excess returns, particularly when using fundamental measures of volatility.     

Consumer Attitudes and Their Forecasting Power for Consumer Spending

The University of Michigan's Surveys of Consumers is summarized with principal components of consumer attitudes with respect to income and wealth, prices, and interest rates and credit availability. These summary measures contain information beyond that captured by the Index of Consumer Sentiment. The summary measures have forecasting power for aggregate consumption behavior, even when controlling for economic fundamentals. These measures also help to improve significantly upon Survey of Professional Forecasters, Blue Chip Consensus, and Federal Reserve Board's forecasts of consumption and other real activity measures, consistent with their predictive ability conditioned upon a broader set of fundamentals and forecasters’ judgment.     

Investor Sentiment and Return Predictability of the Option to Stock Volume Ratio

We study the effect of investor sentiment on the relation between the option to stock volume ratio (O/S) and future stock returns. Relative option volume has return predictability under short sale constraints. For this reason, we expect and find a stronger O/S‐return relation during high sentiment periods than during low sentiment periods. We find that Baker and Wurgler's Investor Sentiment Index affects the O/S‐return relation after controlling for consumer sentiment indices and economic environment factors. While prior studies have used consumer sentiment indices as alternative measures of investor sentiment, our results suggest these effects are distinct.     

Forecasting volatility of the U.S. oil market

We examine the information content of the CBOE Crude Oil Volatility Index (OVX) when forecasting realized volatility in the WTI futures market. Additionally, we study whether other market variables, such as volume, open interest, daily returns, bid-ask spread and the slope of the futures curve, contain predictive power beyond what is embedded in the implied volatility. In out-of-sample forecasting we find that econometric models based on realized volatility can be improved by including implied volatility and other variables. Our results show that including implied volatility significantly improves daily and weekly volatility forecasts; however, including other market variables significantly improves daily, weekly and monthly volatility forecasts.     

Consumption, Aggregate Wealth, and Expected Stock Returns

This paper studies the role of fluctuations in the aggregate consumption–wealth ratio for predicting stock returns. Using U.S. quarterly stock market data, we find that these fluctuations in the consumption–wealth ratio are strong predictors of both real stock returns and excess returns over a Treasury bill rate. We also find that this variable is a better forecaster of future returns at short and intermediate horizons than is the dividend yield, the dividend payout ratio, and several other popular forecasting variables. Why should the consumption–wealth ratio forecast asset returns? We show that a wide class of optimal models of consumer behavior imply that the log consumption–aggregate wealth (human capital plus asset holdings) ratio summarizes expected returns on aggregate wealth, or the market portfolio. Although this ratio is not observable, we provide assumptions under which its important predictive components for future asset returns may be expressed in terms of observable variables, namely in terms of consumption, asset holdings and labor income. The framework implies that these variables are cointegrated, and that deviations from this shared trend summarize agents' expectations of future returns on the market portfolio.     

Monitoring and Forecasting Currency Crises

Can we improve forecasts of currency crises by using a large number of predictors? Which predictors should we use? This paper evaluates the performance of traditional leading indicators and a new Diffusion Index (DI) method as Early Warning Systems to monitor the risk and forecast the likelihood of the recent currency crises in East Asia. We find that the DI performs quite well in real time. For most countries, the forecasted probabilities of a crisis increase substantially around the actual time of the crisis. The economic variables that help in forecasting future crises are output growth, interest rates and money growth.