Monetary policy and stock market dynamics across monetary regimes

This paper examines the dynamic linkages between monetary policy and the stock market during the three distinct monetary regimes of Burns, Volcker and Greenspan since the 1970s. Some major findings are the following. First, in the 1990s it appears that there was a disconnection between Federal Reserve actions (via the federal funds rate) and responses by the stock market. Second, the impact of inflation on the stock market did not surface as significant in the later parts of 1980s and the 1990s. And third, significant asymmetric effects of monetary policy on the stock markets were observed throughout each monetary regime but these were more pronounced during bear markets than bull markets. These results suggest that there was no consistent dynamic relationship between monetary policy and the stock market and that the nature of such dynamics was different in each of the three monetary regimes.     

Real Activity, Inflation, Stock Returns, and Monetary Policy

We find that contractionary monetary policy shocks generate statistically significant movements in inflation and expected real stock returns, and that these movements go in opposite directions. Since positive shocks to output precipitate monetary tightening, we argue that the countercyclical monetary policy process is important in explaining the negative correlation between inflation and stock returns. Examining the 1979–1982 period, we find that monetary policy tightens significantly in response to positive shocks to inflation, and that the impact of monetary policy shocks on stock returns is negative and volatile. Therefore, we see evidence that an “anticipated policy” hypothesis is at work.     

Are common stocks a good hedge against inflation? Evidence from the Pacific-rim countries

We explore whether the observed real stock return–inflation relations in the U.S. and 10 Pacific-rim countries for the sample period of 1970–1997 can be explained by the interaction between real and monetary disturbances. Ten countries exhibit a negative relation between real stock returns and inflation. Malaysia is the only country that exhibits a positive relation. For nine countries, real output disturbances drive a negative stock return–inflation relation, while monetary disturbances yield a positive relation. In addition, real shock components appear to be relatively more important than monetary shock components for these countries, and as a result the observed relation between stock returns and inflation is negative. Neither the tax hypothesis nor the monetary regime hypothesis seems to be easily compatible with the diverse experiences of the Pacific-rim countries.     

Stock Returns,Inflation, and Economic Activity: The Survey Evidence

The primary purpose of this paper is the use of survey expectations data to study the empirical relationships between stock returns, inflation, and economic activity. In the course of this analysis and as a secondary purpose, the paper discusses general considerations involving the use of expectations proxies and makes recommendations for econometric techniques. The main empirical findings are: (1) Hypothesized relationships between expected economic activity and expected inflation do not in practice appear to be important in explaining the negative relationship between expected inflation and stock returns. (2) Nevertheless, the survey data do lend some support to the hypothesis of a quantity theory relationship between expected inflation and expected economic activity, holding constant monetary growth. (3) The cross-forecaster dispersion of economic activity forecasts, a proxy for real uncertainty, appears to be a significant determinant of stock returns. Inclusion of this variable eliminates the negative impact of expected inflation.     

Common stock returns,real activity,money, and inflation: Some international evidence

This paper tests whether the negative relationship between real stock returns and inflation in the United States is in fact proxying for a positive relationship between stock returns and real activity variables in six major industrial countries over 1966–1979. Consistent with Fama's ‘proxy-effect’ hypothesis, we document a negative relationship between inflation and real activity and a positive one between real stock returns and real activity variables. Real activity variables dominate money growth rates and expected and unexpected inflation in explaining real stock returns. A puzzling result that still remains is the positive role of money and the negative role of expected inflation in explaining these real stock returns in all major industrial countries.     

Maintaining low inflation: Money, interest rates, and policy stance

This paper presents a systematic empirical relationship between money and subsequent prices and output, using US, euro area and Swiss data since the 1960-1970s. Monetary developments, unlike interest rate stance measures, are shown to provide qualitative and quantitative information on subsequent inflation. The usefulness of monetary analysis is contrasted to weaknesses in modeling monetary policy and inflation with respectively short-term interest rates and real activity measures. The analysis sheds light on the recent change in inflation volatility and persistence as well as on the Phillips curve flattening, and reveals drawbacks in pursuing a low inflation target without considering monetary aggregates.     

REIT Returns and Inflation: Perverse or Reverse Causality Effects?

Contrary to the Fisherian theory of interest, previous studies document a negative relationship between REIT (Real Estate Investment Trust) returns and inflation. In this research, we re-examine this perverse inflation behavior by testing for the causal relationships among REIT returns, real activity, monetary policy, and inflation through a vector error correction model. Our results indicate that the observations of REIT returns as perverse inflation hedges are spurious. The observed negative relationship between REIT returns and inflation is in fact a manifestation of the effects of changes in monetary policies. These findings are consistent with Darrat and Glascocks (1989) evidence of monetary effects on REIT returns.     

U.S. Monetary Regimes and Optimal Monetary Policy in the Euro Area

Monetary policy in the United States has been documented to have switched from reacting weakly to inflation fluctuations during the 1970s, to fighting inflation aggressively from the early 1980s onward. In this paper, I analyze the impact of the U.S. monetary policy regime switches on the Eurozone. I construct a New Keynesian two‐country model where foreign (U.S.) monetary policy switches regimes over time. I estimate the model for the U.S. and the Euro Area using quarterly data and find that the United States has switched between those two regimes, in line with existing evidence. I show that foreign regime switches affect home (Eurozone) inflation and output volatility and their responses to shocks, substantially, as long as the home central bank commits to a time‐invariant interest rate rule reacting to domestic conditions only. Optimal policy in the home country instead requires that the home central bank reacts strongly to domestic producer‐price inflation and to international variables, such as imported goods relative prices. In fact, I show that currency misalignments and relative prices play a crucial role in the transmission of foreign monetary policy regime switches internationally. Interestingly, I show that only marginal gains arise for the Euro Area when the European Central Bank (ECB) adjusts its policy according to the monetary regime in the United States. Thus, a simple time‐invariant monetary policy rule with a strong reaction to Producer Price Index (PPI) inflation and relative prices is enough to counteract the effects of monetary policy switches in the United States.     

Nonlinear relationship between monetary policy and stock returns: Evidence from the U.S.

This paper studies the relationship between monetary policy and stock market return in the U.S. using nonlinear econometric models. It first employs a univariate Markov-switching model on each of the three stock indices and three monetary policy variables, displaying significant regime-switching patterns and common movements. This paper then uses a Markov-switching dynamic bi-factor model to simultaneously extract two latent common factors from stock indices and monetary policy variables to represent monetary policy changes and stock market movements separately. The smoothed probabilities of regimes demonstrate that expansionary monetary policy regimes follow economic recessions, but bear stock markets usually occur before economic recessions. The maximum likelihood estimation results show that expansionary monetary policy such as a decrease in the federal funds rate raises stock returns, but stock returns don't directly influence monetary policy decision.     

How Important Is Money in the Conduct of Monetary Policy?

I consider some of the leading arguments for assigning an important role to tracking the growth of monetary aggregates when making decisions about monetary policy. First, I consider whether ignoring money means returning to the conceptual framework that allowed the high inflation of the 1970s. Second, I consider whether models of inflation determination with no role for money are incomplete, or inconsistent with elementary economic principles. Third, I consider the implications for monetary policy strategy of the empirical evidence for a long‐run relationship between money growth and inflation. And fourth, I consider reasons why a monetary policy strategy based solely on short‐run inflation forecasts derived from a Phillips curve may not be a reliable way of controlling inflation. I argue that none of these considerations provides a compelling reason to assign a prominent role to monetary aggregates in the conduct of monetary policy.     

Dynamic linkages between monetary policy and the stock market

This paper examines the dynamic linkages between the federal funds rate and the stock market during the 1970–2004 period using the VAR methodology. We detected a disconnection between Fed actions and market responses in the 1990s relative to the 1970s and 1980s. Upon further analyses, we observed asymmetric effects of monetary policy actions on the stock market and that such actions were more turbulent during bear markets than bull markets. Overall, our results appear to suggest that there was consistent dynamic relationship between the conduct of monetary policy and the corresponding behavior by the stock market during the last three decades.     

Variations in effects of monetary policy on stock market returns in the past four decades

Stock prices are sensitive to monetary policy. However, the sensitivities are not stable over time. A drastic change in monetary policy can alter effects of monetary policy on stock returns. This study finds that stock prices can be affected by current changes, unexpected changes, or near-future changes in the funds/discount rates, due to different policy goals or targets in different periods. Specifically, this study provides empirical evidence that monetary policy influences the stock market in different ways in the 1960s, the 1970s, the Volcker and Greenspan periods.     

MONETARY POLICY INDICATORS AS PREDICTORS OF STOCK RETURNS

We explore the linkage between stock return predictability and the monetary sector by examining alternative proxies for monetary policy. Using two complementary methods, we document that failure to condition on the Fed's broad policy stance causes a substantial understatement in the ability of monetary policy measures to predict returns. Industry analyses suggest that cross‐industry return differences are also linked to changes in monetary conditions, as monetary policy has the strongest (weakest) relation with returns for cyclical (defensive) industries. Overall, we find that monetary conditions have a prominent and systematic relation with future stock returns, even in the presence of business conditions.     

EXPECTATIONS, SECURITY YIELDS, AND INFLATION: EX-ANTE RISK PREMIA ON UK SHARES, CORPORATE BONDS AND GILTS, 1969–1987

This paper provides estimates of monthly risk premia required by investors on shares, corporate bonds and government gilts during the period 1969–1987, based on the CAPM and using deviations between past actual returns and the model's forecast returns as inputs. Ex-ante risk premia increased dramatically during the 1970s and again on equities in the period around the October 1987 Crash. The risk premia moved closely in line with inflation in the 1970s, casting considerable doubt on the Modigliani and Cohn thesis that the fall in share prices in the middle of that decade was due to the market suffering from money illusion. When account is taken of trends in the premia and inflation timeseries, the correlation between the two disappears. This result is consistent with the findings of others that the widely observed negative correlation between share returns and inflation is a spurious one, traceable to monetary accommodation of supply-side shocks to the real economy — something which is hard to reconcile with the money illusion argument.     

Stock returns and inflation in Greece: A Markov switching approach

The paper studies the dynamic relationship between real stock returns and expected and unexpected inflation utilizing a Markov Switching vector autoregressive model (MS-VAR). The MS-VAR model has the advantage that it is able to capture the dependence structure of the series both in terms of mean and variance. Univariate and multivariate innovation decompositions are employed to separate inflation into two components, the expected and unexpected. The empirical evidence suggests that real stock returns are not related to expected and unexpected inflation and this result is independent of the method used to separate inflation into the two components. Rather, the results suggest that stock market movements are regime dependent, implying that stock market performance is not predictable.     

Monetary policy surprises and international bond markets

We examine the impact and spillover effects of monetary policy surprises on international bond returns. Within the framework of Campbell and Ammer (1993), we decompose international bond returns into news regarding future returns, real interest rates and future inflation for Germany, the U.K. and the U.S. We examine how excess bond returns in these three countries are affected by surprise changes in monetary policy in each country. Our measure of the unanticipated element of monetary policy is based on futures markets rather than the more traditional vector autoregression. Our results indicate that excess bond returns primarily react to domestic as compared to foreign monetary policy surprises. We also find there is a strong divergence between the effects of domestic monetary policy on excess bond returns in Germany relative to the U.K. A surprise monetary tightening in Germany (U.K.) leads to a rise (fall) in the excess holding period return. We trace this effect to news about lower (higher) inflation expectations and could be potentially rationalized by differences in the credibility of the monetary policy authority in each country.     

The Relationship Between REITs Returns and Inflation: A Vector Error Correction Approach

Previous studies show that REITs returns and inflation arenegatively related. This paper reexamines this perverse inflation hedgephenomenon by investigating the relationship among REITs returns, realactivities, monetary policy and inflation through a Vector ErrorCorrection Model. Empirical results show that inflation does notGranger-cause REITs returns and that REITs returns signal changes in monetary policy. The observed negative relationship between REITs returnsand inflation is merely a proxy for the more fundamental relationshipbetween REITs returns and other macroeconomic variables.     

A VARMA Analysis of the Causal Relations Among Stock Returns,Real Output,and Nominal Interest Rates

Previous research has documented a negative relation between common stock returns and inflation. Recently, Fama 3 and Geske and Roll 6 have argued that this relation results from a more fundamental one between real activity and expected inflation. Stock returns, they argue, signal changes in real activity, which in turn affect expected inflation. However, unlike Fama, Geske and Roll argue that changes in real activity result in changes in money supply growth, which in turn affect expected inflation. Empirical tests have analyzed separately each link in the proposed causal chain. In this article, we investigate simultaneously the relations among stock returns, real activity, inflation, and money supply changes using a vector autoregressive moving average (VARMA) model. Our empirical results strongly support Geske and Roll's reversed causality model.     

U.S. domestic money, inflation and output

Recent empirical research documents that the strong short-term relationship between U.S. monetary aggregates on one side and inflation and real output on the other has mostly disappeared since the early 1980s. Using the direct estimate of flows of U.S. dollars abroad we find that domestic money (currency corrected for the foreign holdings of dollars) contains valuable information about future movements of U.S. inflation and real output. Statistical evidence suggests that the Friedman-Schwartz stylized facts can be reestablished once the focus of analysis is back on the correct measure of domestic monetary aggregates.     

Congress and the Federal Reserve

We examine legislative activity to determine when Congress threatens the Fed and whether this pressure affects monetary policy. By the late‐1980s Congress shifted from threatening when unemployment was high to threatening when inflation was high. We use the Romer and Romer monetary shocks to isolate changes in the federal funds rate that cannot be explained by economic conditions and ask whether these shocks respond to pressure. In the 1970s, the Fed responded to bills credibly threatening Fed powers by lowering the federal funds target below that prescribed by current and forecast economic conditions. However, this accommodation ceased in the mid‐1980s.