The dynamics of economic growth,oil prices,stock market depth,and other macroeconomic variables: Evidence from the G-20 countries

This paper examines the linkages between economic growth, oil prices, depth in the stock market, and three other key macroeconomic indicators: real effective exchange rate, inflation rate, and real rate of interest. We employ a panel vector autoregressive model to test Granger causality for the G-20 countries over the period 1961–2012. A novel approach to this study is that we clearly demarcate the long-run and short-run relations between the economic variables. The results show a robust long-run economic relationship between economic growth, oil prices, stock market depth, real effective exchange rate, inflation rate, and real rate of interest. In the long run, real economic growth is found to respond to any deviation in the long-run equilibrium relationship that is found to exist between the different measures of stock market depth, oil prices, and the other macroeconomic variables. In the short run we find a complex network of causal relationships between the variables. While the empirical evidence of short-run causality is mixed, there is clear evidence that real economic growth responds to various measures of stock market depth, allowing for real oil price movements and changes in the real effective exchange rate, inflation rate, and real rate of interest.     

STOCK PRICES AND INFLATION

Numerous empirical studies establish that inflation has a negative short‐run effect on stock returns but few studies report a positive, long‐run Fisher effect for stock returns. Using stock price and goods price data from six industrial countries, we show that long‐run Fisher elasticities of stock prices with respect to goods prices exceed unity and range from 1.04 to 1.65, which tends to support the Fisher effect. We also find that the time path of the response of stock prices to a shock in goods prices exhibits an initial negative response, which turns positive over longer horizons. These results help reconcile previous short‐run and long‐run empirical evidence on stock returns and inflation. Also, they reveal that stock prices have a long memory with respect to inflation shocks, such that investors should expect stocks to be a good inflation hedge over a long holding period. JEL Classification: G12     

The non-linear relationship between oil prices and stock prices: Evidence from oil-importing and oil-exporting countries

This paper investigates the long-run dynamics between stock and oil prices over the period from March 13, 2001 to August 25, 2017 using the Rafailidis and Katrakilidis (2014) approach, which includes the structural breaks in the relationship between the variables in a Dynamic Ordinary Least Squares model. The approach verifies the existence of cointegration and asymmetry. The main results indicate that when using nonlinear approaches, we can find cointegration and asymmetry. For oil-exporting countries, a positive long-term relationship was found between oil and stock prices. In this case, the wealth effect prevailed for these countries. For oil-importing countries with developed economies, a negative signal was found, confirming that in these economies the business cost channel prevailed. However, oil-importing countries with emerging economies have experienced a positive sign in the long-term relationship, probably due to the economic cycle. In addition, only the United States has seen asymmetric adjustments in the long-term relationship between oil and stock prices.     

Stock Prices and Inflation: New Evidence from the Pacific-Basin Countries

This paper investigates the statistical relationship between stock prices and inflation in nine countries in the Pacific-Basin. On balance, regression analysis on the nine markets shows negative relationships between stock returns in real terms and inflation in the short run, while co-integration tests on the same markets display a positive relationship between the same variables over the long run. The time path of the response of stock prices plotted against corresponding changes in consumer price indices validates this dichotomy in time-related response patterns of stock prices to inflation; namely, a blip of negative responses at the beginning changes to a positive response over a longer period of time. Stock prices in Asia, like those in the U.S. and Europe, appear to reflect a time-varying memory associated with inflation shocks that make stock portfolios a reasonably good hedge against inflation in the long run.     

Has the correlation of inflation and stock prices changed in the United States over the last two centuries?

The relationship between stock prices and the inflation can be either negative or positive, depending on the strengths of various theoretical channels at work. In this study, we examine the dynamic conditional correlations of stock prices and inflation in the United States over the period of 1791–2015 under a time-varying framework. The results of our empirical analysis reveal that correlations between the inflation and stock prices in the United States evolve heterogeneously overtime. In particular, the correlations are significantly positive in the 1840s, 1860s, 1930s and 2011, and significantly negative otherwise. The policy implications of these findings are then discussed.     

Exploring international differences in inflation dynamics

Standard closed-economy DSGE models have difficulty replicating the persistence of inflation. We use a multicountry dataset to establish some empirical regularities on persistence and volatility of aggregate consumer prices for 135 countries since 1993. We find both persistence and volatility to be low (high) in developed (developing) countries relative to the full sample average. This pattern is also observed in low (high) inflation countries. We then employ a two-country DSGE framework to investigate the extent to which structural open economy features, such as incomplete exchange rate pass-through, the existence of nontraded goods, and international financial market incompleteness, can help in replicating the persistence and volatility of consumer prices. Our simulation results indicate that the model can replicate the degree of inflation persistence seen in the data for both developed and developing countries, but cannot generate the low levels of volatility observed in developed economies.     

On the relationship between changes in stock prices and bond yields in the G7 countries: Wavelet analysis

The purpose of this paper is to shed a new perspective on the relationship between changes in stock prices and bond yields in the G7 countries. Theoretical studies argue that this relationship may be negative or positive. To investigate the relationship, we model a newly developed time-series technique: wavelet correlation analysis. The key empirical results show that the correlation between changes in stock prices and bond yields can differ from country to country and can also depend on the time scale. Furthermore, wavelet analysis reveals that changes in stock prices and bond yields do not move together in most G7 countries, except in Japan.     

Firm fundamentals and stock prices in emerging Asian stock markets: some panel data evidence

The purpose of this paper is to investigate the direct link between firm fundamentals and stock prices in a set of emerging Asian stock markets using firm-level panel data. In doing so, we explore the relationship between firm-specific variations in stock returns and firm fundamentals in the context of a simple present value framework. We find that alternative proxies of variation in firm fundamentals—albeit at differing degrees—explain a significant part of firm-specific return variation in a majority of emerging markets in Asia. Findings are robust to the influence of other factors known to affect stock return volatility (e.g. firm size, stock turnover, and leverage). Overall results suggest that stock prices in a majority of the Asian emerging markets contain a significant amount of firm-specific fundamental information and are, therefore, not as murky as commonly thought.     

How the euro-area sovereign-debt crisis led to a collapse in bank equity prices

We quantify the linkages among banks’ equity performance and indicators of sovereign stress by using panel GMM to estimate a three-equation system that examines the impact of sovereign stress, as reflected in both sovereign spreads and sovereign ratings, on bank share prices. We use data for a panel of five euro-area stressed countries. Our findings indicate that a recursive relationship between sovereigns and banks operated during the euro-area crisis. Specifically, for the five crisis countries considered shocks to sovereign spreads fed-through to sovereign ratings, which affected commercial banks’ equity-prices. Our results also point to the importance of using levels of equity prices – rather than rates of return – in measuring banks’ performance. The use of levels allows us to derive the determinants of long-run equity prices.     

The International Dimension of Inflation: Evidence from Disaggregated Consumer Price Data

We estimate the contribution of international common factors to the dynamics of price inflation rates of a cross-section of 948 CPI products in four OECD countries: United States, Germany, France, and United Kingdom. We find two main results. First, on average, and at least in the sample 1991–2004, one international common factor explains between 15% and 30% of the variance of consumer prices (depending on the transformation applied to the data). Given the high level of disaggregation of our panel, this estimate is best viewed as a lower bound for the contribution of international factors to inflation dynamics. Second, we find a strongly positive and statistically significant relationship between exposure of consumer inflation to international shocks and trade openness at the sectoral level. The latter result holds regardless of whether the original data are expressed in local as opposed to common currency.     

Putting the dividend–price ratio under the microscope

We analyze the time-series properties of the dividend–price ratios (DPRs) of 11 developed countries since the early 70s. Despite its frequent use in research as a valuation method for stock prices and a determinant of stock returns, previous studies suggest that there is mixed evidence of the time-series properties of DPRs predicted by economic theory. We argue that this mixed result is attributable to the sample size used in previous studies. Here, we have opted to implement the panel data approach (i.e., N>2) to increase the total size of observations rather than relying on the traditional method (i.e., increasing the size of T). In this way, we can increase the total number of observations without increasing the likelihood of structural breaks. For this purpose, we implement the panel unit root test taking account of cross sectional dependence, and obtain clear evidence of stationary DPRs. Thus, we conclude that a significant one-to-one long-run relationship exists between stock prices and dividends for the countries in our samples.     

How Do Investment,Fundamentals, and Stock Prices Relate Around the World?

We assemble a novel data set of industry panel data for the corporate sector and the entire economy across a number of countries to explore the connection between investment and stock prices. The link is present in all samples, in both the aggregate and industry dimensions, and increases with stock market development. Fundamentals are less related to prices in underdeveloped markets but are similarly related to investment everywhere. Thus, the active informant interpretation does not seem to be the main force behind the stock market–investment relationship. In addition, industries that are more dependent on equity finance, and where investors are strongest, exhibit higher sensitivity to prices, especially in developed markets.     

Do capital importing countries pay higher prices for their imports of goods?

We examine the effects that a country's net capital flows have on the (border) prices that a country pays for its imports of goods. Using data from 2000 to 2009 for 11 euro area countries we utilize a pricing-to-market specification to study exporters' pricing behavior to the rest of the countries in the sample, at the industry level, for 900 goods disseminated at the 4-digit Standard International Trade Classification level. This allows us to construct a panel dataset which contains observations across exporters, importers, industries and time. We find a strong positive influence of the importing country's net capital inflows on the border prices of its imports of goods. This result is robust across different specifications of the underlying model, as well to different sample dis-aggregations across types of capital flows, product categories, and exporters.     

Gone fishin’: Seasonality in trading activity and asset prices

We use seasonality in stock trading activity associated with summer vacation as a source of exogenous variation to study the relationship between trading volume and expected return. Using data from 51 stock markets, we first confirm a widely held belief that stock turnover is significantly lower during the summer because market participants are on vacation. Interestingly, we find that mean stock return is also lower during the summer for countries with significant declines in trading activity. This relationship is not due to time-varying volatility. Moreover, both large and small investors trade less and the price of trading (bid-ask spread) is higher during the summer. These findings suggest that heterogeneous agent models are essential for a complete understanding of asset prices.     

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.     

How security prices respond to a surge in investor attention: Evidence from Google Search of ADRs

This study examines the day-to-day impact of a surge in investor attention on security prices within a four-week investment horizon. Focusing on a sample of ADRs traded in the U.S. stock markets between 2004 and 2015, we measure the surge in investor attention by constructing a dummy variable based on the Search Volume Index (SVI) obtained from Google Trends. We find strong evidence that a surge in investor attention is associated with a same-day positive abnormal return. But the positive association between investor attention and stock return disappears or even reverses quickly after day zero. ADRs originated from developing countries and developed countries appear to be equally responsive to a surge in investor attention.     

Exchange rate pass-through in emerging countries: Do the inflation environment,monetary policy regime and central bank behavior matter?

In this paper, we estimate the exchange rate pass-through (ERPT) to import and consumer prices for a sample of 14 emerging countries over the 1994Q1-2015Q3 period. To this end, we augment the traditional bivariate relationship between the nominal effective exchange rate and inflation by accounting for monetary stability proxied by the inflation environment, monetary policy regime and central bank behavior. We show that both the level and volatility of inflation, as well as adopting an inflation target or the transparency of monetary policy decisions clearly reduce ERPT to consumer prices. However, uncertainty about domestic monetary policy seems less relevant in explaining the pass-through to the price of imports.     

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.     

Comovements of earnings, dividends, and stock prices

We investigate the comovements of the log of earnings, dividends, and stock prices by testing for the number of common stochastic trends among these series. We find that the three series are cointegrated with a single cointegrating vector. Our findings collectively imply that (i) there is an equilibrium force that tends to keep these series together over time, (ii) changes in dividends are primarily influenced by changes in some measure of permanent earnings, and (iii) a substantial fraction of stock price movement is driven by neither earnings changes nor dividend changes. When we take into account the cointegration relationship, we find that the dynamic relationship between these variables is significantly affected. We present a common stochastic trends model of earnings, dividends, and stock prices, whose implications are broadly consistent with these findings.     

A TEST OF THE RISK PREMIUM HYPOTHESIS

Contrary to economic theory, there is international evidence that common stock returns and inflation are negatively related. This negative relationship is examined in this paper and the applicability of the risk premium hypothesis is tested. According to this hypothesis, an increase in unanticipated inflation causes the market risk premium to rise, which in turn lowers current stock prices. A model is developed and the effect of uncertain inflation on the market risk premium across four countries is tested empirically. Results indicate that the market risk premium is positively related to uncertain inflation.