Inflation news and stock returns: market direction and flow-through ability

Previous studies of the short-run response of daily stock prices to announcements of macroeconomic news could be biased when responses in different scenarios cancel each other out. In our analysis of inflation news in the Spanish stock market, we consider market direction arguments and implement our study based on the sector of activity to control for the ‘flow-through’ ability of the firms in each industry. In general, our results are quite consistent with the ‘market direction’ and the ‘flow-through’ hypotheses. Unanticipated inflation news implies abnormal returns depending on the direction of the news, the state of the economy and the flow-through ability of the sector. The impact of positive surprises affects the abnormal returns of many more sectors than does the impact of negative surprises, especially in the low states of economy. These significant effects are mainly observed in industries that are characterised by low flow-through ability.     

On the Effects of Asset Purchase Programs on Emerging Stock Markets

ABSTRACT

It is well documented that there has been a relationship between stock markets and unconventional monetary policies. However, most research concentrates on developed economies and analyzes the effects of shocks from such polices on stock prices. This paper is different from this research in that we investigate the impact of surprises from the Fed’s and the ECB’s announcements on the stock returns and volatility in Gulf Cooperation Council (GCC) countries using GARCH models. We find that a positive surprise associated with a fall in the U.S. Treasury yield causes an increase in ADX returns. We show significant effects of the ECB’s shocks on price returns. In particular, announcement that induces a decline in yield spreads in Italian sovereign bonds leads to higher stock prices. We also document a significant impact of surprises both by the Fed and ECB on volatility. However, the estimates are mixed. We note that volatility went down in response to the ECB’s policies, while they increased after the Fed’s asset purchases. Finally, when we distinguish surprises by their sign, the GJR-GARCH model estimates indicate that the effect on the volatility which is, perhaps surprisingly, symmetric for both types of news.     

Asymmetric impact of monetary surprises on exchange rate

This paper examines the asymmetric response of exchange rate to monetary surprises. After controlling the type, direction and origin of the news as well as business cycle phase, a new asymmetry is found in the response of the exchange rate to news surprises. In specific, the US Dollar depreciates against major currencies as the response to the negative monetary surprises in the 2001 recession, while the Dollar appreciates responding to similar negative monetary surprises during the 2008 recession. The paper further explores possible causes and finds that time-varying status of the currency with higher financial returns may contribute to the new asymmetry.     

The effect of FOMC statements on asset prices

Given their increased importance during recent years, FOMC (Federal Open Market Committee) statements can have a significant impact on asset prices. To capture the effect of FOMC statements on asset prices, an indicator variable is created that takes into account the information content of policy statements. Results show that both ‘interest rate surprises’ and ‘FOMC statements’ affect the mean and the volatility of asset prices. The volatility impact is tent-shaped, jumping within the policy announcement interval and declining before and after the release. FOMC statements have a much more pronounced impact on stock returns, intermediate and long-term yields, while short-term rates are largely driven by target rate decisions. We also find that the evolution of the language of the FOMC statements does matter to market participants and, in particular, the ‘forward-looking’ language adopted in mid-2003 has reduced market volatility associated with ‘interest rate surprises’ on announcement days.     

Corporate social irresponsibility,CEO overconfidence,and stock price crash risk

This study examines whether and how corporate social irresponsibility (CSI) influences stock price crash risk for firms with overconfident CEOs. We find that the positive association between CEO overconfidence and stock price crash risk as shown in prior studies is significantly weakened when firms have higher CSI concerns. As a result, our intriguing findings demonstrate that investors are less surprised at the negative news hoarded by overconfident CEOs of CSI firms, possibly because they are already aware of and have previously reacted to the socially irresponsible behavior in their daily operations.     

What does tax aggressiveness signal? Evidence from stock price reactions to news about tax shelter involvement

We study the stock price reaction to news about corporate tax aggressiveness. We find that, on average, a company's stock price declines when there is news about its involvement in tax shelters. We find some limited evidence for cross-sectional variation in the reaction. For example, the reaction is more negative for firms in the retail sector, suggesting that part of the reaction may be a consumer/taxpayer backlash. In addition, the reaction is less negative for firms that are viewed to be generally less tax aggressive, as proxied by the firm's cash effective tax rate. We interpret this as being consistent with the market reacting positively to evidence that a firm is trying to reduce taxes when their financial reports would lead one to believe the firm is not tax aggressive.     

Why does bad news increase volatility and decrease leverage?

A recent literature shows how an increase in volatility reduces leverage. However, in order to explain pro-cyclical leverage it assumes that bad news increases volatility, that is, it assumes an inverse relationship between first and second moments of asset returns. This paper suggests a reason why bad news is more often than not associated with higher future volatility. We show that, in a model with endogenous leverage and heterogeneous beliefs, agents have the incentive to invest mostly in technologies that become more volatile in bad times. Agents choose these technologies because they can be leveraged more during normal times. Together with the existing literature this explains pro-cyclical leverage. The result also gives a rationale to the pattern of volatility smiles observed in stock options since 1987. Finally, the paper presents for the first time a dynamic model in which an asset is endogenously traded simultaneously at different margin requirements in equilibrium.     

CAN FINANCING CONSTRAINTS EXPLAIN THE ASSET PRICING PUZZLES IN PRODUCTION ECONOMIES?*

General Equilibrium asset pricing models have a difficult time simultaneously delivering a sizable equity premium, a low and counter cyclical real risk free rate, and cyclical variation in return volatility. To explain these stylized facts, this article introduces occasionally binding financing constraints that impede producers’ ability to invest. The financial frictions drive a wedge between the marginal rate of substitution and firms’ internal stochastic discount factors so that the shadow value of capital is not tied to the average price of capital. The model delivers higher and more volatile asset returns during recessions as well as a counter cyclical equity premium.     

Noise traders and smart money: Evidence from online searches

Traditional finance theory considers that the impact of noise traders' attention on asset prices is offset by attention from smart investors. This paper uses online search data to study the influence of noise traders and smart investors on stock returns and volatility. Adopting an original approach, we construct a proxy for smart investor attention based on investors' online search behavior provided by Wikipedia Page Traffic. We combine this new measure with a standard measure of noise traders' attention as proxied by Google Search Volume Index. We show for a sample of 87 French firms over the period 2008–2018 that only noise traders' attention influences stock returns. Noise traders' attention increases volatility by creating an extra risk that is priced into the market. Conversely, smart investors' attention decreases volatility because their presence stabilizes stock prices by reducing uncertainty. Our empirical results support a behavioral explanation of stock prices.     

Focusing on volatility information instead of portfolio weights as an aid to investor decisions

When faced with the challenge of forming a portfolio containing a risky and a risk-free asset, investors tend to apply the same portfolio weights independently of the volatility of the risky asset. This “percentage heuristic” can lead to different levels of portfolio risk when the same investor is presented with a more or a less risky asset. Using four experiments, we show that asking investors to choose the return distribution for their portfolio while keeping the exact portfolio weights unknown leads to greater similarity in levels of portfolio volatility (across different levels of risk of the risky asset) than asking investors to choose this distribution while additionally facing the portfolio weights. Higher consistency in risk taking is obtained both between and within test subjects.     

Financialization and Manufacturing Firm Profitability under Uncertainty and Macroeconomic Volatility: Evidence from an Emerging Market

Using semi-annual data from 1993 to 2003 for all publicly traded manufacturing firms in Turkey, this paper explores the impacts of macroeconomic uncertainty and external shocks on profitability of real sector firms in the presence of multiple investment options in both real and financial sectors. The paper argues that increasing availability and accessibility of investment opportunities in the financial markets help real sector firms sustain profit margins despite market rigidities, increasing goods market competition, or higher levels of risks. The empirical results based on dynamic panel estimations show that increasing macroeconomic uncertainty and volatility have a significantly negative effect on firm profitability. In contrast, increasing the share of financial investments in total assets is found to be reducing such negative effects at a statistically and economically significant level.     

Exchange rate volatility and regime change: A Visegrad comparison

We analyze exchange rate volatility in the Visegrad Four countries during the period in which they abandoned tight regimes for more flexible ones. We account for path dependency, asymmetric shocks, and movements in interest rates. In addition, we allow for a generalized error distribution. The overall findings are that path-dependent volatility has a limited effect on exchange rate developments and that the introduction of floating regimes tends to increase exchange rate volatility. During the period of flexible regimes, volatility was mainly driven by surprises. Asymmetric effects of news tend to decrease volatility under the floating regime. Interest differentials impact exchange rate volatility contemporaneously under either regime, although we find no intertemporal effect of interest differentials. Journal of Comparative Economics 34 (4) (2006) 727–753.     

Volatility and Market Risk of Rubber Price in Malaysia: Pre- and Post-Global Financial Crisis

The volatility in rubber price is a significant risk to producers, traders, consumers and others who are involved in the production and marketing of natural rubber. Such being the case, forecasting the rubber price volatility is desired to assist in decision-making in this uncertain situation. The 2008 Global Financial Crisis caused some disruptions and uncertainties in the future supply or demand for natural rubber and thus leading to higher rubber price volatility. Using ARCH-type models, this paper intends to model the dynamics of the price volatility of Standard Malaysia Rubber Grade 20 (SMR 20) in the Malaysian market before and after the Global Financial Crisis. Additionally, Value-at-Risk (VaR) approach is implemented to evaluate the market risk of SMR 20. Our empirical result denotes the existence of volatility clustering and long memory volatility in the SMR 20 market for both crisis periods. Leverage effect is also detected in the SMR 20 market where negative innovations (bad news) have a larger impact on the volatility than positive innovations (good news) for post-crisis period. When tested with Superior Predictive Ability (SPA) test, FIGARCH model is the best model across five loss functions for short- and long-term forecasts for pre-crisis period. Meanwhile, over post-crisis period, FIGARCH and GJR GARCH indicate the superior out-of-sample-forecast results and better forecasting accuracy over short- and long-term horizons, respectively. In terms of market risk, the short trading position encounters higher risk or greater losses than the long trading position at both 1 and 5 % VaR quantile for pre-crisis period. In contrast, over post-crisis period, long traders of rubber SMR 20 tend to face limited gains but unlimited losses.

     

International trade,foreign direct investments,and firms’ systemic risk : Evidence from the Netherlands

This paper measures the contribution of firms in the financial and non-financial sectors to systemic risk. We quantify systemic risk as possible risk spillovers from individual firms to the economy by taking into account time-varying linkages between the firm and the economy. Based on a novel dataset that combines data on international trade and foreign direct investments with daily stock data for 67 Dutch listed companies from 2006–2015, our results indicate that high systemic risk contributions are not only present in the financial sector, but also occur in other sectors of the economy. We find that firms within the financial sector are more capable than non-financial firms of reverting to their pre-financial crisis level of systemic risk contribution. Having examined the potential role globalization fulfills in determining systemic risk, we find two main opposing effects. First, firms in internationally trade-intensive sectors contribute less to systemic risk than firms in sectors with low trade intensity. Second, systemic risk rises when firms are engaged in foreign direct investment activity, suggesting that international networks and global supply chains contribute to systemic risk propagation. Our empirical results imply that macro-prudential policy aimed at monitoring systemic risk should be extended to non-financial sectors and should take into consideration globalization measures, such as foreign direct investments and global supply chains.     

The structural effect of cooperatives on price volatility in the European dairy sector

Theoretical models and empirical evidence suggest that high market shares of cooperatives can force investor-oriented firms to pay higher producer prices within a region. In the same vein, cooperatives may force investor-oriented firms to reduce price volatility. We use panel data from 27 European Union member states over the period 2001–2015 to investigate how the market share of cooperatives in a country affects milk price volatility. Our key finding is that a higher market share of cooperatives reduces price volatility at the national level. Volatility is influenced by a number of other variables, such as fluctuation in raw milk production, oil price volatility spillover and the number of dairy processors. Policymakers should consider that the promotion of cooperatives might positively affect price stability in the dairy sector.     

TRADER TYPE EFFECTS ON THE VOLATILITY‐VOLUME RELATIONSHIP EVIDENCE FROM THE KOSPI 200 INDEX FUTURES MARKET

We investigate whether the trading activity generated by investors with different access to information and trading motives has positive or negative impact on index futures volatility. Surprises in non‐member institutional, individual and foreign investors' trading volume are positively associated with volatility in most of the cases. For member institutional investors, unexpected trading volume is positively related to volatility. Long‐run changes in the trading activity also affect volatility differently across trader types. Finally, allowing for time‐to‐maturity effects, surprises in open interest are associated with more volatility towards contract expiration, contrary to the negative effect we find during normal times.     

未定权益分析方法与中国宏观金融风险的测度分析

本文利用未定权益分析方法(CCA),在汇集、处理与整合编制多方数据的基础上,通过建立国民经济机构部门层面的风险财务报表,测度了2000—2008年我国的宏观金融风险,并直观展示和分析了该期间国民经济各机构部门风险敞口的动态演变情况。本文在我国特殊的数据背景下,基于我国金融市场发展的现状,探索了测度和监控我国系统性金融风险的具体理论与方法。     

Oil Price Shocks and Volatility in Australian Stock Returns

This paper examines the effect of oil shocks on return and volatility in the sectors of Australian stock market and finds significant effects for most sectors. For the overall market index, an increase in oil price return significantly reduces return, and an increase in oil price return volatility significantly reduces volatility. An advantage of looking at sector returns rather than a general index of stock returns is that sectors may well differ markedly in how they respond to oil price shocks. The energy and material sectors (as expected) and the financial sector (surprisingly) are out of step (in different ways) with results for the other sectors and for the overall index. A rise in oil price increases returns in the energy and material sectors and an increase in oil price return volatility increases stock return volatility in the financial sector. Explanation for the negative (positive) association between oil return (oil return volatility) and returns (volatility of returns) in the financial sector must be based on the association via lending to and/or holdings of corporate bonds issued by firms with significant exposure to oil price fluctuations and their speculative positions in oil‐related instruments.     

Conditional volatility and correlations of weekly returns and the VaR analysis of 2008 stock market crash

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated during the recent financial crisis. We shall examine the nature of asset return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility models proposed in the literature can be used to formally characterize and quantify market risk. In particular, we ask how adequate these models are for modelling market risk at times of financial crisis. In doing so we consider a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and show that the t-DCC model passes the usual diagnostic tests based on probability integral transforms, but fails the value at risk (VaR) based diagnostics when applied to the post 2007 period that includes the recent financial crisis.     

International contagion through financial versus non-financial firms

The role of financial firms in the transmission of financial shocks across countries is well recognized in the literature. However, contagion through non-financial firms has not received much attention. This study examines the role of financial vis-à-vis non-financial firms in transmitting shocks across countries using a dynamic conditional correlation analysis. We provide empirical evidence from a sample of 49 countries. A novel finding of our study is that non-financial firms play a more pronounced role in the cross-market transmission of shocks than financial firms. Financial contagion is positively related to the level of equity market development and bilateral trade intensity. It is higher during periods of US economic downturns and financial crises. Given that the extent of international contagion varies across economic states and is more prevalent in the non-financial than in the financial sector, this study has implications for global sector rotation strategies.