The volatility dynamics of spot and futures gold prices: Evidence from Russia

We examine the long memory property and structural break in the spot and futures gold volatility in Russia from 2008 through 2013. We find strong evidence of long memory in the volatility of both spot and futures gold series. The break dates are associated with the recent global financial crisis. Moreover, we investigate the volatility spillover effect between the Russian spot and futures gold markets using the corrected Dynamic Conditional Correlation model (cDCC). The findings show relatively high level of conditional correlation between spot and futures gold returns. This outcome decreases the portfolio diversification benefits for gold investors.     

Asymmetric volatility spillovers between economic policy uncertainty and stock markets: Evidence from China

This study explores the spillovers between economic policy uncertainty (EPU) and stock market realized volatility (RV). The monthly index of Chinese and US EPU and RV are used to analyze the pairwise directional spillovers. We find that RV is a net receiver that is more vulnerable to shocks from U.S. EPU than to shocks from Chinese EPU. We further decompose the RV into good and bad volatility to test the asymmetric spillover effect between the stock market and EPU. The results suggest that EPU has a bigger effect on bad volatility in the stock market throughout most of the sample period. However, we find that good volatility spillovers become larger during periods of stimulated reform, whereas bad volatility spillovers become larger during periods of international disputes. We show that Chinese stock market volatility is sensitive to both U.S. and Chinese EPU and that the spillover is asymmetric in different periods.     

Wholesale funding and bank stability: The impact of economic policy uncertainty

The primary aim of this paper is to examine the conditioning effects of economic policy uncertainty on the relationship between wholesale funding and bank stability. Based on a sample of 1829 commercial banks in 27 countries over the period 2005–2020, we provide evidence of a nonlinear relationship between wholesale funding and bank stability. Specifically, a small share of nondeposit funding to total deposit and short-term funding (below 22.3%) offers some risk reduction, but a substantial mixing of nondeposit and deposit funding increases bank fragility. Moreover, the adverse effects of excessive wholesale funding on bank stability are strengthened during periods of high policy uncertainty. Nevertheless, banks in advanced countries, large banks, and high-quality banks with better asset quality are less affected by the detrimental impact of excessive wholesale funding on bank stability when during periods of increased policy uncertainty.     

Optimal hedge ratio and hedging effectiveness of stock index futures: evidence from India

In a free capital mobile world with increased volatility, the need for an optimal hedge ratio and its effectiveness is warranted to design a better hedging strategy with future contracts. This study analyses four competing time series econometric models with daily data on NSE Stock Index Futures and S&P CNX Nifty Index. The effectiveness of the optimal hedge ratios is examined through the mean returns and the average variance reduction between the hedged and the unhedged positions for 1-, 5-, 10- and 20-day horizons. The results clearly show that the time-varying hedge ratio derived from the multivariate GARCH model has higher mean return and higher average variance reduction across hedged and unhedged positions. Even though not outperforming the GARCH model, the simple OLS-based strategy performs well at shorter time horizons. The potential use of this multivariate GARCH model cannot be sublined because of its estimation complexities. However, from a cost of computation point of view, one can equally consider the simple OLS strategy that performs well at the shorter time horizons.     

Policy uncertainty and peer effects: Evidence from corporate investment in China

This study investigates whether economic policy uncertainty (EPU) magnifies peer effects in corporate investment in China and the economic mechanisms through which EPU may act upon this property. We examine this relationship by analysing a large sample of publicly listed companies in China for the period of 2009–2019, adopting the peer-firm-average idiosyncratic stock return to capture exogenous variations in peer firms’ investment activities. We demonstrate that peer effects are stronger when EPU is increasing in intensity. We also find that high EPU magnifies peer effects by decreasing the accuracy of firms’ signals regarding their investment opportunities, asymmetrically impacting their capacity to acquire information and exacerbating managers’ career concerns. We further show that increased EPU magnifies peer effects only for underinvesting firms, causing underinvestment to persist and retarding recovery from an economic downturn. Our investigation provides original evidence of how EPU influences corporate investment decisions through peer effects, contributing to the continuing debate on the role of EPU and corporate investment efficiency by establishing that the adoption of consistent and transparent economic policies optimize returns on a company’s investments, especially during an economic downturn.     

Economic policy uncertainty and environmental governance company volatility: Evidence from China

This study primarily investigates whether China’s economic policy uncertainty (EPU) can predict the environmental governance index volatility, which selects companies regarding environmental protection such as sewage treatment, solid waste treatment, air treatment, and energy saving. Empirical results reveal that China’s EPU index can predict the environmental governance index volatility. Furthermore, even during periods of fluctuating volatility and the COVID-19 pandemic, China’s EPU index can reliably forecast the environmental governance index volatility. This paper tries to provide new evidence regarding the connection between EPU and environmental governance companies’ stock volatility.     

The impact of economic news on bond prices: Evidence from the MTS platform

Although there is an extensive literature on the impact of macroeconomic announcements on asset prices, the bond market has received less attention than the foreign exchange and equity markets, even less if we consider the European market. This paper uses high-frequency intra-day data over a three-year period to investigate the impact of regularly scheduled macroeconomic news and monetary policy announcements on the returns of the Italian government bond market, the largest one in the Euro-zone. With respect to the previous papers, we use a much broader set of announcements, 68, and a relatively novel dataset (MTS). We find that 25 news have a significant impact on bond returns and that almost all announcements are incorporated into prices within 20 min from the release.     

Systemic risk,economic policy uncertainty and firm bankruptcies: Evidence from multivariate causal inference

The paper investigates causal relationships between systemic risk, economic policy uncertainty and firm bankruptcies, conditional on global volatility proxied by the VIX index, in a sample of 15 advanced and major emerging market economies during January 2008-June 2018. We test for Granger causality in time and frequency domains as well as dissect multivariate causal linkages in the dynamic complex system framework by applying a novel technique – convergent cross mapping (Sugihara et al., 2012). Based on strictly coincident results from all the three approaches, we find that systemic risk causes firm exit in Spain, while in the UK and the Netherlands bankruptcies are triggered by economic policy uncertainty. In South Korea and the USA, the VIX index causes the firm shutdown. For the rest of the countries, the causality inference provides less robust evidence. We argue that the magnitude of deleveraging by banks with respect to the private nonfinancial sector, proxied by the volatility of credit-to-GDP gaps, shapes the presence or absence of causal impact by systemic risk, economic policy uncertainty or the VIX index on bankruptcies.     

The role of market expectations in commodity price dynamics: Evidence from oil data

This paper examines the contribution of market expectations to commodity price dynamics. It proposes a dynamic competitive storage framework with an explicit expectations shock along with concurrent shocks to study the commodity price movements. This allows for a refined analysis of the expectations’ effect on price and inventory and the estimation of the expectations. Applied to the world crude oil market, it finds that the contribution of market expectations to the crude oil spot price movements is limited from 1987 to 2014.     

The information transfer effects of political connections on mitigating policy uncertainty: Evidence from China

A key aspect of Chinese-style institutions is that the growth of the economy can be severely restricted by the adjustment and implementation of policy, leading to serious uncertainty in business practices. This paper investigates whether political connections help private firms obtain policy information ahead of public disclosure that would allow them to hedge against policy uncertainty. Using the quarterly data on non-financial private listed companies over 2007:Q1–2017:Q4, we find that the negative effect of policy uncertainty on fixed-asset investment is lower in politically connected firms than in non-connected firms, especially in industries with low asset reversibility and regions with a high degree of marketization. Further, a positive mitigation of policy uncertainty exists in firms whose top executives served as officials rather than deputies, and higher administrative as well as finance-related political connections show more information advantage. In addition, robust evidence is provided that controls the impacts of political connections on financing constraints, business performance and policy burdens, overcoming potential endogeneity, and the cash-holdings perspective. Our findings suggest that political connections are conducive to mitigate information asymmetry between private firms and policymakers in China.     

The predictive performance of the currency futures basis for spot returns

This paper investigates the predictive performance of the futures basis in directly forecasting currency spot returns and compares it with that of the one-month forward basis. We consider the settle prices of both front-month and nearby-month continuous futures contracts and find that the futures basis exhibits statistically and economically significant in-sample and out-of-sample forecasting power, which clearly exceeds that of the well-known forward basis. The empirical results show that spot returns correspond negatively to both the front-month futures basis and nearby-month futures basis. Furthermore, the futures basis reveals substantial economic value for investors in terms of sizable and tangible portfolio gains, which are consistent with statistical measures. The difference in the forecasting ability of the futures basis and forward basis can be explained by the level of exposure to the time-varying risk premium. Finally, we find that impacts of the futures basis on spot returns vary with time and experienced substantial structural changes during the Global Financial Crisis.     

Are price limits on futures markets that cool? Evidence from the Brazilian Mercantile and Futures Exchange

This article investigates the impact of price limits on theBrazilian futures markets using high frequency data. The aimis to identify whether there is an ex ante cool-off or magneteffect. For that purpose, we examine a tick-by-tick data setthat includes all contracts on the São Paulo stock indexfutures traded on the Brazilian Mercantile and Futures Exchange(BM&F) from January 1997 to December 1999. The results indicatethat, altogether, there is a dominant cool-off effect in playand that the latter is much stronger for the floor rather thanceiling price. This explains why we observe more hits to theceiling rather than to the floor in our sample despite the factit covers one of the most turbulent periods for emerging markets.We then build a trading strategy that accounts for the cool-offeffect in the conditional mean so as to demonstrate that thelatter has not only statistical but also economic significance.The Sharpe ratio is indeed way superior to the buy-and-holdbenchmarks we consider.     

Economic policy uncertainty,corporate investment decisions and stock price crash risk: Evidence from China

We examine the relationship between economic policy uncertainty (EPU) and stock price crash risk via the corporate investment in Chinese listed firms. Results show that higher EPU is associated with lower crash risk. Firms increase financial asset holdings and reduce overinvestment when EPU rises, leading to lower future crash risk. State-owned enterprises (SOEs) and firms with lower management incentives tend to reduce overinvestment, whereas non-SOEs tend to increase financial asset holdings. Thus, firms tend to be cautious in their investments when EPU is high, which reduces crash risk. Our study provides new insights into the validity of the Lucas critique in China.     

Forecasting spot prices of agricultural commodities in India: Application of deep-learning models

Food price fluctuations can impact both producers and consumers. Forecasting the prices of the agricultural commodities is of prime concern not only to the government but also to farmers and agribusiness firms. In developing countries like India, management of food security needs competent and efficient forecasting of food prices. With the availability of data, recent innovation in deep-learning models provides a feasible solution to accurately forecast the prices. In this study, we examine the superiority of these models using the daily spot prices of five major commodities traded on the National Commodity and Derivatives Exchange: cotton seed, castor seed, rape mustard seed, soybean seed, and guar seed. The results were obtained from the application of the traditional univariate autoregressive integrated moving average model and deep-learning techniques like the time-delay neural network (TDNN) and long short-term memory (LSTM) network. The empirical results indicate that the LSTM model is indeed suitable for the financial domain and captures the directional movement of the spot price changes with high accuracy compared with the TDNN and other linear models. Accuracy of the performance of these models has been compared using out-of-sample performance measure. The overall objective of this paper is to demonstrate the utility of spot price forecasting for farmers and traders in offering them the best predictions of the price movements. Our results provide a possibility of developing pricing models that can help in fairly regulating agricultural commodity prices.     

Using high, low, open, and closing prices to estimate the effects of cash settlement on futures prices

Due to dwindling commercial interest in the feeder cattle futures contract, the Chicago Mercantile Exchange (CME) decided to replace the contract's physical delivery provision with a cash settlement provision, arguing that cash settlement would help reduce price volatility and attracts more commercial interests. In this article, we apply stochastic volatility models to investigate the CME conjecture, using four different estimators based on opening, high, low, and closing prices, respectively. With each estimator, we find that the volatility of the feeder cattle futures price decreases after the implementation of cash settlement. We conclude that the change in the contract specification enhances price discovery and the contract's hedging performance.     

Peer effects in corporate advertisement expenditure: Evidence from China

This study investigates whether industry peers affect focal firms’ advertising expenditure decisions and further explores the mechanisms and economic consequences of such effects. We find that peer firms have a significantly positive influence on the focal firm’s advertising expenditure. The results hold after a series of robustness tests. Additionally, the peer effects in advertising expenditure are more salient in industries with intense competition; and when economic policy uncertainty and demand uncertainty is higher. Interestingly, our results show that followers mimic the advertising expenditure of industry leaders, while leaders also react to followers’ advertising expenditure. We also find that the peer effects in advertising expenditure improve firms’ sales and market value. Our study contributes to a better understanding of peer effects on corporate decisions.     

The role of speculation in international futures markets on commodity prices

The role of futures contracts on spot prices has been one of the key focus areas of research since the recent surge in commodity prices and increase in the volatility of commodity returns. However, no consensus arises from this literature, and hence it is difficult to link the use of futures contracts in agricultural commodities by non-hedgers and the growing food insecurity within developing countries. The purpose of this paper is to highlight causal relationships from futures contracts to spot prices of underlying assets, namely agricultural commodities. As research that focus on exchange-traded funds do not provide any clear conclusions, we focus on the imbalance between short- and long-open positions, this imbalance being caused by the exchange traded funds’ participation in futures markets. In this paper, we estimate relationships between financial variables including indicators for speculation in futures markets and the returns of cocoa, corn, soybean, wheat, coffee, rice, and sugar on a weekly basis from 1998 to 2013. Significant results lead to Granger-causality tests that in turn validate the hypothesis of a positive impact of speculation in futures markets to returns on the underlying commodities.     

The Inverted-U hypothesis for the effect of uncertainty on investment: Evidence from UK firms

Abstract

This paper offers the first attempt to test the inverted-U hypothesis for the effect of uncertainty on investment, implied by a number of recent theoretical studies, using a panel of UK firms. It is found that the effect of uncertainty on corporate investment is indeed approximated by an inverted-U shaped relationship: at low levels of uncertainty the effect is positive, but it becomes negative at high levels of uncertainty. This result represents the first empirical verification of the hypothesis with respect to UK firms.