Monetary policy and stock prices – Cross-country evidence from cointegrated VAR models

This study applies the Cointegrated Vector-Autoregressive (CVAR) model to analyze the long-run relationships and short-run dynamics between stock markets and monetary policy across five developed and three emerging economies. Our main aim is to check whether monetary policy plays an important role for stock market developments. As an innovation, monetary policy enters the analysis from three angles: in the form of a broad monetary aggregate, short-term interest rates and net capital flows. Based on this framework, we analyze whether central banks are able to influence stock market developments. Our findings suggest different patterns and causalities for emerging and industrial economies with the stock markets of the former economies more frequently related to monetary aggregates and capital flows. A direct long-run impact from short-term interest rates on stock prices is only observed for 3 out of 8 economies.     

Futures trading volume as a determinant of prices in different momentum phases

Recent studies contend that trading volume has predictive power for ex ante stock prices, particularly small stocks that do not react quickly to macroeconomic information. This study postulates that a significant amount of macro-information that flows on to stock markets is derived from derivative markets. We examine the impact of short-term futures trading volume and prices on cash stock prices using a case study of 15-min data from the Australian stock index futures market which reports actual trading volume. After applying vector error correction modelling (VECM), variance decomposition and impulse functions, we conclude that futures prices provide a short-term information lead to stock prices that dominates trading volume effects. We also observe asymmetric changes in the impact of trading volume between bull and bear price momentum phases and after large trading volume shocks. These results suggest that, in future, studies on trading volume should control for the cross-correlation impact from derivative prices and the differential impact of trading phases.     

The Size and Incidence of the Losses from Noise Trading

Recent empirical research has identified a significant amount of volatility in stock prices that cannot easily be explained by changes in fundamentals; one interpretation is that asset prices respond not only to news but also to irrational “noise trading.” We assess the welfare effects and incidence of such noice trading using an overlapping-generations model that gives investors short horizons. We find that the additional risk generated by noise trading can reduce the capital stock and consumption of the economy, and we show that part of that cost may be borne by rational investors. We conclude that the welfare costs of noise trading may be large if the magnitude of noise in aggregate stock prices is as large as suggested by some of the recent empirical litrature on the excess volatility of the market.     

Stock returns,aggregate earnings surprises,and behavioral finance

We study the stock market's reaction to aggregate earnings news. Prior research shows that, for individual firms, stock prices react positively to earnings news but require several quarters to fully reflect the information in earnings. We find a substantially different pattern in aggregate data. First, returns are unrelated to past earnings, suggesting that prices neither underreact nor overreact to aggregate earnings news. Second, aggregate returns correlate negatively with concurrent earnings; over the last 30 years, for example, stock prices increased 5.7% in quarters with negative earnings growth and only 2.1% otherwise. This finding suggests that earnings and discount rates move together over time and provides new evidence that discount-rate shocks explain a significant fraction of aggregate stock returns.     

Do central banks react to the stock market? The case of the Bundesbank

In this paper, we ask whether the Bundesbank, prior to the European Central Bank taking responsibility for monetary policy in 1999, reacted systematically to stock price movements. In contrast to the results for the US, our empirical findings show a generally weak relationship between German stock returns and short-term interest rates at the daily and the monthly frequency. The results are extremely robust to alternative model specifications. The evidence is inconsistent with the hypothesis of a systematic reaction of the Bundesbank to German stock prices. However, we do find that, as in the US, the Bundesbank may have reacted to the stock market crash of 1987 by loosening monetary policy.     

LONG-TERM AND SHORT-TERM CAUSAL RELATIONS BETWEEN DIVIDENDS AND STOCK PRICES: A TEST OF LINTNER'S DIVIDEND MODEL AND THE PRESENT VALUE MODEL OF STOCK PRICES

In this paper we test the joint implications for the intertemporal behavior of stock prices and dividends expressed in the Lintner dividend model and the present value model of stock prices. We use macro data corresponding to quarterly S&P 500 index prices and dividends for January 1930–December 1990. The methodology used is the error correction model (ECM), which allows testing for long-term and short-term relations between the two variables. Results from the ECM indicate that a long-term equilibrium relation exists between dividends and stock prices, and that an error correction mechanism is at work when a disequilibrium exits between the two variables. Stock prices and dividends also influence each other in the short term. Finally, the results show that dividends and stock prices exhibit a contemporaneous causal relation.     

Information Aggregation Bias and Samuelson's Dictum

Under the assumption of incomplete information, idiosyncratic shocks may not dissipate in the aggregate. An econometrician who incorrectly imposes complete information and applies the law of large numbers may be susceptible to information aggregation bias. Tests of aggregate economic theory will be misspecified even though tests of the same theory at the microlevel deliver the correct inference. A testable implication of information aggregation bias is “Samuelson's Dictum” or the idea that stock prices can simultaneously display “microefficiency” and “macroinefficiency;” an idea accredited to Paul Samuelson. Using firm-level data from the Center for Research in Security Prices, we present empirical evidence consistent with Samuelson's dictum. Specifically, we conduct two standard tests of the linear present value model of stock prices: a regression of future dividend changes on the dividend-price ratio and a test for excess volatility. We show that the dividend price ratio forecasts the future growth in dividends much more accurately at the firm level as predicted by the present value model, and that excess volatility can be rejected for most firms. When the same firms are aggregated into equal-weighted or cap-weighted portfolios, the estimated coefficients typically deviate from the present value model and “excess” volatility is observed; this is especially true for aggregates (e.g., S&P 500) that are used in most asset pricing studies. To investigate the source of our empirical findings, we propose a theory of aggregation bias based on incomplete information and segmented markets. Traders specializing in individual stocks conflate idiosyncratic and aggregate shocks to dividends. To an econometrician using aggregate data, these assumptions generate a rejection of the present value model even though individual traders are efficiently using their available information.     

The association of aggregate and disaggregated earnings with annual stock returns

This study compares aggregate earnings and disaggregated earnings (cash from operations, current accruals and non-current accruals) in terms of their associations with stock returns. A cross-sectional approach is adopted using Australian data over a six-year period. This analysis is undertaken for two different models of the relation between earnings and returns: one model relating returns to the magnitude of earnings, and the other relating returns to the combination of levels of, and changes in, earnings. In each model, the disaggregated regression is generally a superior explanator of stock returns, implying that disaggregated earnings provides richer information about firm performance, in a purely statistical sense, than aggregate earnings. Thus, disaggregated earnings are more informative, even in the most simple of comparison modes, linear regression.     

A Utility-Based Model of Common Stock Price Movements

This paper develops and tests a nonlinear utility-based econometric model of the temporal behavior of aggregate stock price movements based on a constant relative risk aversion utility function and an observable information set consisting of aggregate consumption, aggregate dividends, and past stock prices. The stochastic process derived from time-series analyses of consumption and dividends measured over annual intervals is used to derive and empirically test a closed-form solution for stock-price movements. The endogenization of discount rate changes in the utility-based model is shown to be more consistent with aggregate stock price movements over a twenty-year holdout period than constant discount rate models. The model is also used to estimate the representative investor's relative risk aversion. The estimate of 4.22 is consistent with that used by Grossman and Shiller in their perfect foresight model and is significantly higher than the relative risk aversion of 1.0 implied by logarithmic utility.     

Option Prices as Predictors of Equilibrium Stock Prices

The Black-Scholes option pricing model, modified for dividend payments, is used to calculate jointly implied stock prices and implied standard deviations. A comparison of the implied stock prices with observed stock prices reveals that the implied prices contain information regarding equilibrium stock prices that is not fully reflected in observed stock prices. The implications of this finding are discussed.     

Are liquidity and corporate control priced by shareholders? Empirical evidence from Swiss dual class shares

Stadard asset pricing models generally exclude corporate control and liquidity considerations as joint explanatory factors of the stock price formation process. This empirical study investigates their influence on Swiss Bearer and Registered share prices issued by the same firm. It is shown that the statistical properties of both shares' returns differ without implying profitable arbitrage opportunities. A multifactor model of the ‘premium’ between Bearer and Registered stock prices is then proposed and tested. The results show that the freely negotiable equity book value, the existence of dominant shareholder positions and ownership transfer regime changes are significant variables in explaining the dual class share price differential.     

Time-varying risk aversion and asset prices

This paper uses a variant of the consumption-based representative agent model in Campbell and Cochrane [Campbell, J.Y., Cochrane, J.H., 1999. By force of habit: Consumption-based explanation of aggregate stock market behavior. Journal of Political Economy 107, 205–251] to study how investors’ time-varying risk aversion affects asset prices. First, we show that a countercyclical variation of risk aversion drives a procyclical conditional risk premium. Second, we show that with a small value for the volatility of the log surplus consumption ratio, a large value of risk aversion may not determine whether the equity premium and the risk-free rate puzzles can be resolved or not. Third, we show that countercyclical risk aversion may not help explain the predictability of long-horizon stock returns, the univariate mean-reversion of stock prices and the “leverage effect” in return volatility.     

Detecting news in aggregate accounting earnings: implications for stock market valuation

How much news is there in aggregate accounting earnings? I provide evidence that earnings changes at the stock market level are correlated with new information about not only expected future cash flows but also discount rates. A comprehensive investigation of the link to discount rates reveals that aggregate earnings changes are tied to news about all components of the expected future stock market return, i.e., the real riskless rate, expected inflation, and the expected equity risk premium. Over the sample period studied, cash flow news and discount rate news in aggregate earnings changes covary positively and have offsetting impacts on stock market prices. As a result, stock market prices appear to be insensitive to aggregate earnings changes. The findings highlight the importance of separating cash flow news from discount rate news when evaluating the information content of accounting earnings at the stock market level. Overall, my study sheds new light on the informativeness and relevance of accounting earnings for valuation at the stock market level.     

Overstatement of Implied Variance in the Dollar/Yen Currency Option Market

This paper investigates the predictive power of implied variancesextracted from the dollar/yen option prices. Implied variances areestimated from transaction prices of currency options traded on PHLXusing the option pricing model of Garman and Kohlhagen (1983). Incontrast to recent findings on stock and stock index options, theout-of-sample tests indicate that the implied variance is an upwardbiased estimator of future variance; and that the variance forecastsfrom GARCH and historical models do not contain significantincremental information in predicting future variance. Tradingstrategies are also developed to exploit the observed overstatementof variance in the dollar/yen option market. Traders that can executethe delta-neutral trading strategies at the observed markettransaction prices could lock in a significant profits during theperiod examined. However, for investors that facing highertransaction costs, the magnitude of the profits is generally notlarge enough to allow for abnormal risk-adjusted profits.     

中国的股票价格波动及货币政策反应

本文在阐述中国的股票价格波动情况及成因的基础上，分析中国股票价格的信息功能，并对中国的股票价格与各层次货币供应量进行协整和Granger因果检验。结果表明，从总体上看，中国的股票价格在1995年之后，具备一定的信息功能；股票价格与各层次货币供应量之间存在协整、因果关系。由此，货币当局应对股票价格波动做出反应。文章以前瞻性利率规则为基础，运用IS—PC—AP模型，采用GMM法估计出中国包含股票价格因素的货币政策反应函数。     

Forecasting the Market Return on Common Stocks

Most institutional fund managers attempt to adjust the stock-bond composition of portfolios over time in anticipation of stock market movements. Using quarterly data in 1962–72 for the United States, this paper demonstrates that 'profitable' strategies for timing portfolio composition in common stocks and Treasury bills are generally not attainable after transaction costs if one uses lagged observations of corporate profit, money supply and consumer sentiment to forecast the market return, as this information is largely reflected in current stock prices. By contrast, accurate forecasts of these aggregate variables lead to substantial market-timing profits relative to a buy-and-hold policy of remaining fully invested in common stocks.     

An International Analysis of Earnings, Stock Prices and Bond Yields

Abstract:  This paper assesses the contemporaneous relationship between stock prices, earnings and long-term government bond yields for a large number of countries. The time period of our data spans several decades. In a time series framework our analysis first tests the presence of a long-term contemporaneous relationship between these three variables (the so-called Fed model). Next, we assess if government bond yields play a significant role in the long-run relationship. Our empirical results question the validity of the Fed model in the sense that we show that long-term market movements are mainly driven by the earnings yield and not the differential between bond and earnings yields. As such, our analysis validates the results of Asness (2003) for a much larger collection of countries while using a dynamic time series (cointegration) framework. Finally, we also show that changes in long-term government bond yields have a short-term impact on stock prices.     

Do Capital Flows Matter to Stock and House Prices? Evidence from China

This article analyzes the impacts of foreign direct investment (FDI) and short-term capital flows, otherwise known as hot money, on stock and house prices in China. Empirical results, estimated using the local projections approach, reveal that a positive hot money net inflow shock significantly increases stock and house prices and the impacts persist for up to 1–2 months, while a positive FDI net inflow shock contributes significantly to lagged house price appreciation but has no effect on stock prices. This study also identifies negative pass-through effects of FDI net inflows on hot money net inflows and positive pass-through effects of stock prices on house prices.     

To buy or not to buy? The value of contradictory analyst signals

We study the predictive ability of individual analyst target price changes for post-event abnormal stock returns within each recommendation category. Although prior studies generally demonstrate the investment value of target prices, we find that target price changes do not cause abnormal returns within each recommendation level. Instead, contradictory analyst signals (e.g., strong buy reiterations with large target price decreases) neutralize each other, whereas confirmatory signals reinforce each other. Further, our analysis reveals that large target price downgrades can be explained by preceding stock price decreases. However, upgrades are not preceded by stock price increases, thereby demonstrating asymmetric analyst behavior when adjusting target prices to stock prices. Our results suggest that investors should treat recommendations with caution when they are issued with large contradictory target price changes. Thus, instead of blindly following a recommendation, investors might put more weight on the change in the corresponding target price and consider transaction costs.