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.     

How does Monetary Policy Influence Capital Markets? Using a Threshold Regression Model

This study indicates that the effects of interest rate changes on stock prices could be twofold and that the net effect is determined by which effect is dominant. The study employs a threshold regression model to see if, before and after the central banks cut the interest rates, there is a nonlinear relation between interest rates and the stock index. Based on traditional economic theory, stock prices should be inversely related to interest rates. However, the present study finds that as interest rates start to increase or decrease, the stock index prices are significantly and positively related to the interest rates. The changes in interest rates affect stock indexes inversely only after interest rates have crossed a certain threshold. The inverse U-shaped relationship between interest rates and stock indexes differs from the traditional wisdom. It could make interest rates more valuable in forecasting stock indexes, and it holds implications for monetary policies of central banks. To avoid the spurious regression problem, this study uses a cointegration test and an error correction model to confirm the results from the threshold regression model and finds that there is a significant cointegration relationship before and after central banks cut interest rates.     

The Fiscal and Monetary Linkage between Stock Returns and Inflation

Contrary to economic theory and common sense, stock returns are negatively related to both expected and unexpected inflation. We argue that this puzzling empirical phenomenon does not indicate causality. Instead, stock returns are negatively related to contemporaneous changes in expected inflation because they signal a chain of events which results in a higher rate of monetary expansion. Exogenous shocks in real output, signalled by the stock market, induce changes in tax revenue, in the deficit, in Treasury borrowing and in Federal Reserve “monetization” of the increased debt. Rational bond and stock market investors realize this will happen. They adjust prices (and interest rates) accordingly and without delay. Although expected inflation seems to have a negative effect on subsequent stock returns, this could be an empirical illusion, since a spurious causality is induced by a combination of: (a) a reversed adaptive inflation expectations model and (b) a reversed money growth/stock returns model. If the real interest rate is not a constant, using nominal interest proxies for expected inflation is dangerous, since small changes in real rates can cause large and opposite percentage changes in stock prices.     

Credit market shocks and economic fluctuations: Evidence from corporate bond and stock markets

To identify disruptions in credit markets, research on the role of asset prices in economic fluctuations has focused on the information content of various corporate credit spreads. We re-examine this evidence using a broad array of credit spreads constructed directly from the secondary bond prices on outstanding senior unsecured debt issued by a large panel of nonfinancial firms. An advantage of our “ground-up” approach is that we are able to construct matched portfolios of equity returns, which allows us to examine the information content of bond spreads that is orthogonal to the information contained in stock prices of the same set of firms, as well as in macroeconomic variables measuring economic activity, inflation, interest rates, and other financial indicators. Our portfolio-based bond spreads contain substantial predictive power for economic activity and outperform—especially at longer horizons—standard default-risk indicators. Much of the predictive power of bond spreads for economic activity is embedded in securities issued by intermediate-risk rather than high-risk firms. According to impulse responses from a structural factor-augmented vector autoregression, unexpected increases in bond spreads cause large and persistent contractions in economic activity. Indeed, shocks emanating from the corporate bond market account for more than 30 percent of the forecast error variance in economic activity at the two- to four-year horizon. Overall, our results imply that credit market shocks have contributed significantly to US economic fluctuations during the 1990-2008 period.     

Monetary policy effects in times of negative interest rates: What do bank stock prices tell us?

This paper investigates bank stock performance following different monetary policy actions in times of positive and negative interest rates. Controlling for the broader stock market, monetary policy announcements that cause an unanticipated downward shift in the yield curve and a flattening of the shorter-end of the yield curve are found to persistently reduce bank stock prices once the interest rate environment is negative. Consistent with the deposits channel of monetary policy, the effects are larger and more persistent for banks that are relatively dependent on deposit funding. By contrast, a surprise movement in the slope of the longer-end of the yield curve does not impact bank stock prices in times of negative interest rates. Accounting data confirm that a parallel drop in the yield curve following a monetary policy decision in a negative interest rate environment hurts banks through shrinking deposit margins.     

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.     

Impact of speculation and economic uncertainty on commodity markets

We examine the interactions between commodity futures returns and five driving factors (financial speculation, exchange rate, stock market dynamics, implied volatility for the US equity market, and economic policy uncertainty). Nonlinear causality tests are implemented after controlling for cointegration and conditional heteroscedasticity in the data over the period May 1990 – April 2014. Our results show strong evidence of unidirectional linear causality from commodity returns to excess speculation for the majority of the considered commodities, in particular for agriculture commodities. This evidence casts doubt on the claim that speculation is driving food prices. We also find unidirectional linear causality from energy futures markets to exchange rates and strong evidence of nonlinear causal dependence between commodity futures returns, on the one hand, and stock market returns and implied volatility, on the other hand. Overall, the new evidence found in this paper can be utilized for policy and investment decision-making.     

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.     

The Effect of Bank Debt Downgrades on Stock Prices of Other Banks

We find that debt downgrades of money center banks elicit negative stock price responses in nondowngraded money center banks. Stock prices of larger regional banks also react to these downgrades. Although downgrades of regional banks evoke negative stock price responses for regional banks in the same geographic region, the importance of geographic region as a factor determining the extent of intra‐industry reactions has diminished since 1989. Our results indicate that the merger and expansion activities triggered by interstate banking have blurred differences between regional and money center banks as interstate banking activity has moved towards nationwide banking     

Interdependence and dynamic linkages between the emerging stock markets of South Asia

The present article examines the dynamic linkages between the stock markets of Bangladesh, India, Pakistan and Sri Lanka using a temporal Granger causality approach by binding the relationship among the stock price indices within a multivariate cointegration framework. We also examine the impulse response functions. Our main finding is that in the long run, stock prices in Bangladesh, India and Sri Lanka Granger‐cause stock prices in Pakistan. In the short run there is unidirectional Granger causality running from stock prices in Pakistan to India, stock prices in Sri Lanka to India and from stock prices in Pakistan to Sri Lanka. Bangladesh is the most exogenous of the four markets, reflecting its small size and modest market capitalization.     

Do Islamic Bond (Sukuk) Prices Reflect Financial and Policy Uncertainty? A Quantile Regression Approach

We studied the relationship between Islamic bond (sukuk) prices and financial and policy uncertainty conditions using a quantile regression approach. Our empirical results for the period 2010–2014 show that US bond prices had a negative impact and causality effects on sukuk prices, whereas European Monetary Union bond prices only co-moved with sukuk prices. We also show that financial uncertainty had a negative effect that was limited to intermediate sukuk quantiles; moreover, sukuk prices were not affected by economic policy uncertainty or stock market returns. Therefore, although Islamic bonds are distinctive assets, their price dynamics are dependent on other bond-related asset prices and so incorporate financial market uncertainty.     

Banking deregulation,macroeconomic dynamics and monetary policy

We assess the effects of increased bank competition on macroeconomic and lending dynamics and on the transmission of monetary policy. Applying panel local projections to state-level data, we, in a first step, investigate the dynamic effects of fiercer bank competition induced by deregulation allowing geographical expansion of banks across state borders in the 1980s and early-1990s. We allow for possible adjustments before the new laws became effective due to potential anticipation effects. Our findings suggest that these events were anticipated and that they temporarily increased economic activity as well as business and consumer lending. We also find a permanent increase in real estate lending and house prices. In a second step, we show that the impact of monetary policy on economic activity, house prices and lending tended to become stronger after interstate banking deregulation.     

Macroeconomic Shocks and Banks' Foreign Assets

Recent developments in international financial markets have highlighted the role of banks in the transmission of shocks across borders. We employ dynamic panel methods for a sample of OECD countries to analyze whether banks' foreign assets react to macroeconomic shocks at home and abroad. We find that banks reduce their foreign assets in response to a relative increase in domestic interest rates, and they increase their foreign assets when the growth rate of world energy prices rises. The responses are characterized by a temporal overshooting and a dynamic adjustment process that extends over several quarters.     

What does futures market interest tell us about the macroeconomy and asset prices?

Economists have traditionally viewed futures prices as fully informative about future economic activity and asset prices. We argue that open interest could be more informative than futures prices in the presence of hedging demand and limited risk absorption capacity in futures markets. We find that movements in open interest are highly pro-cyclical, correlated with both macroeconomic activity and movements in asset prices. Movements in commodity market interest predict commodity returns, bond returns, and movements in the short rate even after controlling for other known predictors. To a lesser degree, movements in open interest predict returns in currency, bond, and stock markets.     

On the Economic Link Between Asset Prices and Real Activity

Abstract:  This paper presents a model linking two financial markets (stocks and bonds) with real business cycle, in the framework of the Consumption Capital Asset Pricing Model with Generalized Isoelastic Preferences. Besides interest rate term spread, the model includes a new variable to forecast economic activity: stock market term spread. This is the slope of expected stock market returns. The empirical evidence documented in this paper suggests systematic relationships between business cycle's state and the shapes of two yield curves (interest rates and expected stock returns). Results are robust to changes in measures of economic growth, stock prices, interest rates and expectations generating mechanisms.     

Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market

We study the economic and non-economic sources of stock return comovements of the emerging Indian equity market and the developed equity markets of the US, UK, Germany, France, Canada and Japan. Our findings show that the probability of extreme comovements in the economic contraction regime is relatively higher than in the economic expansion regime. We show that international interest rates, inflation uncertainty and dividend yields are the main drivers of the asymmetric return comovements. Findings reported in the paper imply that the impact of interest rates and inflation on return comovements could be used for anticipating financial contagion and/or spillover effects. This is particularly critical since during extreme market conditions, the tail return comovements can potentially reveal critical information for active portfolio management.     

Banking sector reactions to COVID-19: The role of bank-specific factors and government policy responses

This paper examines the impact of bank-specific factors and variations in the context of stringency of government policy responses on bank stock returns because of the COVID-19 pandemic. A sample of 1,927 publicly listed banks from 110 countries is used for the period of the first major wave of COVID-19, that is, January to May 2020. Our findings indicate that stock returns of banks with higher capitalization and deposits, more diversification, lower non-performing loans, and larger size are more resilient to the pandemic. While banks’ environment and governance scores do not have a significant impact, higher social and corporate social responsibility strategy scores intensify the negative stock price reaction to COVID-19. We further observe that the pandemic-induced reduction in bank stock prices is mitigated as the strictness of government policy responses increases, mainly through economic responses such as income support, debt and contract relief, and fiscal measures from governments.     

Stock prices, news, and business conditions

Previous research finds that fundamental macroeconomic newshas little effect on stock prices. We show that after allowingfor different stages of the business cycle, a stronger relationshipbetween stock prices and news is evident. In addition to stockprices, we examine the effect of real activity news on proxiesfor expected cashflows and equity discount rates. We find thatwhen the economy is strong the stock market responds negativelyto news about bigger real economic activity. This negative relationis caused by the larger increase in discount rates relativeto expected cashflows.     

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。     

汇率制度改革后中国股市与汇市关系——人民币名义汇率与上证综合指数的实证研究

本文利用协整检验和Granger因果检验的计量方法研究了汇率制度改革后中国股市与汇市的关系。实证结果表明,汇率制度改革后中国股市与汇市存在长期稳定的协整关系,人民币升值是中国股市上扬的单向Granger原因。最后,本文利用国际收支和资本流动理论对这些实证结果作了进一步解释,并提出了相应的政策建议。