Do spot food commodity and oil prices predict futures prices?

Review of Quantitative Finance and Accounting - Futures prices reflect the price that both the buyer and the seller agree will be the price of a commodity upon delivery. Therefore, these prices...     

Do oil futures prices predict stock returns?

This paper explores stock return predictability by exploiting the cross-section of oil futures prices. Motivated by the principal component analysis, we find the curvature factor of the oil futures curve predicts monthly stock returns: a 1% per month increase in the curvature factor predicts 0.4% per month decrease in stock market index return. This predictive pattern is prevailing in non-oil industry portfolios, but is absent for oil-related portfolios. The in- and out-of-sample predictive power of the curvature factor for non-oil stocks is robust and outperforms many other predictors, including oil spot prices. The predictive power of the curvature factor comes from its ability to forecast supply-side oil shocks, which only affect non-oil stocks and are hedged by oil-related stocks.     

Does global liquidity drive commodity prices?

This paper tackles the question of whether a cross-sectional perspective on monetary policy is capable of explaining movements in global commodity prices. In this vein, we contribute to the rich literature on global liquidity in two different ways: on the one hand, to achieve a global series in terms of common monetary policy shocks, we propose a distinction between common and idiosyncratic factors across economies, as proposed by Bai and Ng (2004). Our second innovation stems from the consideration of a Markov-switching vector error correction model when analyzing time-varying short-run dynamics. Having identified the long-run structure which includes a proportional relationship between commodity prices and global liquidity in the first step, our results indeed show that the impact of a global liquidity measure on different commodity prices is significant and varies over time. One regime approximately accounts for times where commodity prices significantly adjust to disequilibria, while the second regime is characterized by either a weak or no commodity price adjustment. The fact that global liquidity also reacts to disequilibria in a specific regime demonstrates the two-way causality between monetary policy and commodity prices.     

The influence of oil prices on the banking sector in oil-exporting economies: Is there a psychological barrier?

This paper examines the relationship between crude oil prices and banking sector market indices in the oil-exporting economies of the Gulf Cooperation Council (GCC), using daily frequency data over 2010–2017. Controlling for global banking impacts (S&P500 Banking Index) and interest rates (T-bills), dynamic ordinary least squared (DOLS) and fully modified ordinary least squared (FM-OLS) analysis indicates that oil prices positively affect bank indices until the $95 per barrel mark, after which the impact becomes negative, close to the psychological barrier found in the US equity market. The S&P500 Banking Index positively affects the GCC banking sector, whereas the interest rate affects it negatively. The validity of an inverse U-shaped relationship between crude oil price and banking sector indices is demonstrated. Causality analysis reveals the existence of bidirectional causalities between the prices of crude oil, GCC banking sectors, and the US banking sector. This paper demonstrates a vital non-linear relationship for oil-banking portfolio management and hedging strategies with oil price risk.     

Do monetary policy announcements affect stock prices in emerging market countries? The case of Thailand

We examine the effect of monetary policy announcements in Thailand, which is one of emerging market countries in Asia, on stock prices at the firm level. We find that the expected change, rather than the unexpected change, in interest rates affects stock prices. The stock price response to the interest rate announcement is asymmetric. For instance, the relation between interest rate surprises and stock prices is conditional on the direction of the interest rate change. In general, macroeconomic conditions and firm characteristics cannot explain the stock price reaction to the announcement. In addition, stock prices of firms in different industries appear to react heterogeneously to the interest rate announcement.     

Do different streams of capital flows affect asset prices differently?

This paper explores the impact of six types of gross capital flows (debt, equity, and banking gross inflows and outflows) on two dimensions: (1) extreme episodes of surges, stops, flights, and retrenchments, and (2) the probability of boom-busts in ASEAN-4 asset markets for the period 1993–2018. To this end, we first decompose gross capital inflows and outflows from Balance of Payments 5 and 6 and show that ASEAN-4 is largely dominated by portfolio flows and a relatively small magnitude of banking flows. However, when we link this decomposition to the extreme episodes, our findings show banking flows are volatile enough to cause greater occurrences of flight and retrenchment episodes while volatile debt flows tend to lead to surge and stop episodes. In the second part, we construct asset price index for ASEAN-4 that can detect boom-busts periods with a minimal noise-to-signal ratio eight quarters ahead. We use heteroscedasticity panel probit and ordinal generalized linear models to show that fundamental variables and banking inflows are statistically significant at increasing likelihood of boom-busts in asset markets. These two findings highlight that although largest percentage of capital flows come through debt and equity markets, the banking channel is of paramount importance in causing extreme episodes of flight and retrenchment as well as boom-busts of asset markets.     

Forecasting metal prices: Do forecasters herd?

We analyze more than 20,000 forecasts of nine metal prices at four different forecast horizons. We document that forecasts are heterogeneous and report that anti-herding appears to be a source of this heterogeneity. Forecaster anti-herding reflects strategic interactions among forecasters that foster incentives to scatter forecasts around a consensus forecast.     

Do corporate press releases drive media coverage?

We examine the role of voluntary corporate press releases about firms' financial performance as a stimulus for financial media coverage. We find that there is a spike of media articles on the same day and one trading day following firms' press releases. We provide evidence that managers compete for media attention and can use voluntary press releases to increase their firms' media coverage; a firm's issuance of press releases attracts more media articles about the firm leading to greater abnormal returns and trading volumes. Our results are robust to controlling for firm characteristics, different model specifications as well as regular earnings announcements, which have been the focus of prior literature. We also show that our inferences are not sensitive to managers' duty to disclose material information to investors. Collectively, our findings suggest that media coverage decisions can be influenced by a firm.     

The effect of CEO luck on the informativeness of stock prices: Do lucky CEOs improve stock price informativeness?

CEOs are “lucky” when they are granted stock options on days when the stock price is lowest in the month of the grant, implying opportunistic timing and severe agency problems (Bebchuk et al., 2010). Using idiosyncratic volatility as our measure of stock price informativeness, we find that lucky CEOs improve the informativeness of stock prices significantly. In particular, CEO luck raises the degree of informativeness by 4.39%. Powerful CEOs who can circumvent governance mechanisms and successfully practice opportunistic timing of options grants are so secured in their positions that they have fewer incentives to conceal information, thereby improving informativeness.     

Do closed survey questions overestimate public perceptions of food risks?

In this paper, we show that the widely accepted methodology for the assessment of risk perception – Likert-type survey questions featuring a set of risks with fixed response alternatives measuring the extent of worry or concern – may overestimate food risk perception. Using a European representative sample survey (n = 26,961) that included an open-ended question asking about problems and risks with food and eating, followed by a battery of closed questions (CQs) assessing food risk perception, we find a similar ranking of perceived food risks across the two methods. Across Europe, the five priority concerns are chronic food-related illness; food origins and quality; acute food-related illness; chemical contamination; and adulteration of food. However, the discrepancies between mentioning a risk in the open-ended question and the expression of worry about risks in the CQ are substantial. Of those who did not mention a specific risk category in the open question, between 60 and 83% (depending on risk category) expressed worry in the CQ. This parallels previous research on the fear of crime, showing that survey responses lead to greatly inflated estimates of the public’s fear of crime than is evidenced by qualitative questioning. It is also consistent with evidence from research on cognitive aspects of survey methodology, suggesting that survey questions may frame the respondent’s thinking about an issue. We conclude with recommendations for the use of branched questions in the quantitative elicitation of public perceptions of risk.     

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.     

Hospital-physician partnerships: a fairy tale?

To work together more effectively, clinical and finance leaders should: Recognize the cultural causes of tension, Conduct honest conversations to help build trust, Acknowledge their own blind spots to understanding.     

The donor–beneficiary charity accountability paradox: a tale of two stakeholders

Using stakeholder theory, this paper explores the motivations of charities in discharging accountability and the interplay of donor and beneficiary accountability needs. It considers the extent to which concentration on one group may disadvantage another. The authors found that stakeholders commonly perceived as more salient, such as donors, cede power and impute saliency to beneficiaries.     

Do institutional investors drive corporate social responsibility? International evidence

This paper assesses whether shareholders drive the environmental and social (E&S) performance of firms worldwide. Across 41 countries, institutional ownership is positively associated with E&S performance with additional tests suggesting this relation is causal. Institutions are motivated by both financial and social returns. Investors increase firms’ E&S performance following shocks that reveal financial benefits to E&S improvements. In cross section, investors increase firms’ E&S performance when they come from countries with a strong community belief in the importance of E&S issues, but not otherwise. As such, these institutional investors transplant their social norms regarding E&S issues around the world.     

The seasonality of gold prices in China does the risk-aversion level matter?

This article aims to investigate the seasonality of gold prices at the Shanghai Gold Exchange over the 2002–2016 period. Our contributions rely in the distinction between risk-averse and risk-seeking investors regarding their investment strategies. The results show the existence of positive Monday and January effects. However, the Monday effect is more suitable to risk-seeking investors while the January effect is more suitable to risk-averse investors in bearish periods only. A robustness check shows that the Monday effect does not hold on gold futures prices. These results indicate the importance to consider the risk-aversion level of investors in seasonal investment strategies.     

Do precious metals hedge crude oil volatility jumps?

In this study, we investigate the impacts of contemporaneous and lagged implied oil volatility (OVX) jumps on precious metals (gold, palladium, platinum, and silver) with the focus on hedging property of precious metals. Additionally, the impacts of OVX jumps on precious metals is investigated in returns and volatility. The results show that gold returns are relatively less responsive against contemporaneous and lagged OVX jumps, thus, gold acts as a weak hedge against OVX jumps. However, other metals (copper, palladium, platinum, and silver) do not serve as a hedge against contemporaneous OVX jumps. Nevertheless, these metals takeover the traditional hedging favourite ‘gold’ in the case of lagged OVX jumps and offers a strong hedge. It suggests that ignoring past information could severely undermine the investigation of OVX and the precious metal relationship. OVX jumps result in an increased volatility in precious metals, thereby indicating that all precious metals behave as a single asset class in terms of volatility transmissions. Moreover, gold is the contemporaneous metal of choice when risk perception is high or investors are averse to risk. Nevertheless, as information is diffused, other metals yield better performance as a hedge.     

Does liquidity drive stock market returns? The role of investor risk aversion

In this paper, we explore the relations between liquidity, stock returns, and investor risk aversion as captured by the variance risk premium (VRP). This is motivated by theoretical and empirical evidence in the literature which suggests that investor risk aversion negatively correlates with asset liquidity, and ample empirical evidence documenting liquidity risk premium. We use monthly US data from January 1999 to December 2018 and show that innovations in the VRP Granger-cause stock returns, which in turn drive liquidity. Our findings are consistent with predictions of prior theories and highlight the predictability of the VRP. They also contribute to the on-going debate on the causal relation between stock returns and liquidity. Finally, we explore the channels through which the VRP impacts liquidity and find that the VRP influences market and momentum factors, and that movements in these factors lead to changes in liquidity.

     

Do uninformed traders move prices? Evidence from the Bank of Japan's ETF purchasing program

Using the Bank of Japan (BoJ) ETF purchasing program as an exogenous shock to stock demand, we find that stocks with a higher BoJ demand experience higher positive abnormal returns on BoJ ETF purchase dates, which only partially revert in the long term. Our findings support the hypothesis that stocks have a downward-sloping demand curve, implying that uninformed traders can cause a permanent shift in price.     

Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?

This study examines whether geopolitical risk (GPR) exhibits an ability to forecast crude oil volatility from a time-varying transitional dynamics perspective. Unlike previous studies that assume an oversimplification of the fixed transition probabilities for crude oil volatility, we develop an asymmetric time-varying transition probability Markov regime switching (AS-TVTP-MS) GARCH model. In-sample estimated results show that GPR yields strong evidence of regime switching behavior on crude oil volatility and that the negative shocks of GPR result in greater effects on switching probabilities than positive shocks. Out-of-sample results indicate that the AS-TVTP-MS GARCH model containing the GPR index outperforms other models, suggesting that the consideration of GPR information and time-varying regime switching together results in superior predictive performance. Moreover, the predictability of oil volatility is further verified to be economically significant in the framework of portfolio allocation. In addition, our results are robust to various settings.