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We find evidence that the runs on banks and trust companies in the Panic of 1907 were linked to the Bank of England’s contractionary monetary policy actions taken in 1906 and 1907 through the medium of copper prices. Results from our vector autoregressive models and copper stockpile data support our argument that a copper commodity price channel may have been active in transmitting the Bank’s policy to the New York markets. Archival evidence suggests that the plunge in copper prices may have partially triggered both the initiation and the failure of an attempt to corner the shares of United Copper, and in turn, the bank and trust company runs related to that transaction’s failure. We suggest that the substantial short-term uncertainties accompanying the development of the copper-intensive electrical and telecommunications industries likely played a role in the plunge in copper prices. Additionally, we find evidence that the copper price transmission mechanism was also likely active in five other countries that year. While we do not argue that copper caused the 1907 crisis, we suggest that it was an active policy transmission channel amplifying the classic effect that was already spreading through the money market channel. If the bust in copper prices partially triggered the 1907 panic, then it provides additional evidence that contractionary monetary policy may have had an unintended, adverse consequence of contributing to a bank panic and, therefore, supports other recent findings that monetary policy deliberations might benefit from considering the policy impact on asset prices.

This study focuses on how China EPU may impact copper-firms stock returns and also how China EPU mediates between stock returns and copper prices returns.

The sample consists of 44 copper firms from January 2011 to March 2022. The study also considers a subsample of 29 net-exporters countries. Panel data methodology is used, allowing to control for unobservable heterogeneity and endogeneity problems. The equations are estimated through a dynamic panel using the generalized methods of moments (GMM).

China EPU has a negative and statistically significant relationship with stock returns. Copper price returns are positively associated with stock returns. This research also considers two scenarios: high and low levels of China EPU. For high levels of China EPU states it is reported a negative relationship between stock returns and China EPU and copper price returns show a positive relationship with stock returns.

There is need to explore other metals for what China exhibits a high demand and observe if China EPU and Global EPU have similar impacts on stock returns. It will be useful to identify main firm's consumers of copper and these other metals to explore the relationship between EPU and stock returns.

To the best of the authors’ knowledge, this is the first paper that analyzes China EPU index and its impact on both copper-firms stocks returns and on changes in copper prices. This is done using all public copper firms worldwide.

Este estudio se enfoca en como la incertidumbre en política económica de China (llamado China EPU) puede impactar en los retornos de las acciones de empresas del sector del cobre y como China EPU media entre los retornos de las acciones y los retornos de los precios del cobre.

La muestral consiste en 44 firmas de cobre desde enero 2011 a marzo 2022. El estudio también considera una sub muestra de 29 países que son exportadores netos de cobre. Se utiliza la metodología de datos de panel, permitiendo controlar por lo inobservable y por problemas de endogeneidad. Las ecuaciones son estimadas a través de panel dinámico usando el método generalizado de los momentos (G.M.M.).

EPU de China tiene una relación negativa y estadísticamente significativa con los retornos accionarios. Los retornos de los precios del cobre están positivamente asociados con los retornos accionarios. La investigación también considera dos posibles escenarios: altos y bajos niveles de EPU. Para el estado de altos niveles se reporta una relación negativa entre los retornos accionarios y el EPU de China, además los retornos de los precios del cobre muestran una relación positiva con los retornos accionarios.

Se requiere explorar otros metales para los cuales China sea un importante demandante a nivel internacional y observar si el EPU de China y el EPU Global tienen similares impactos en los retornos accionarios. A su vez sería útil identificar las principales firmas consumidoras de cobres y estos otros metales de tal forma de chequear la relación entre EPU y retornos accionarios.

En nuestro mejor conocimiento, este es el primer artículo que analiza el índice EPU de China y como este impacta tanto los retornos accionarios de las empresas de cobre como los cambios de precios del cobre. Esto es hecho usando una muestral que incluye todas las empresas de cobre que se transan en bolsa a nivel internacional.

The purpose of this paper is to compare the changes in the risk spillover effects between the copper spot and futures markets before and after the issuance of copper options, analyze the risk spillover effects between the three markets after the issuance of the options and can provide effective suggestions for regulators and investors who hedge risks.

The MV-CAViaR model is an extended form of the vector autoregressive model (VAR) to the quantile model, and it is also a special form of the MVMQ-CAViaR model. Based on the VAR quantile model, this model has undergone continuous promotion of the Conditional Autoregressive Value-at-Risk Model (CAViaR) and the Multi-quantile Conditional Autoregressive Value-at-Risk Model (MQ-CAViaR), and finally got the current form of the model.

The issuance of options has led to certain changes in the risk spillover effect between the copper spot and its derivative markets, and the risk aggregation effect in the futures market has always been significant. Therefore, when supervising the copper product market and investors using copper derivatives to avoid market risks, they need to pay attention to the impact of futures on the spot market, the impact of options on the futures market and the risk spillover effects of spot and futures on the options market.

The empirical results of this paper can be used to hedge market risk investment strategies, and the changes in market relationships also provide an effective basis for the supervision of the copper product market by the supervisory authority.

It is the first literature research to discuss the risk and the impact of spillover effects of copper options on China copper market and its derivative markets. The MV-CAViaR model can capture the mutual risk influence between markets by modeling multiple markets simultaneously.

This study analyses empirically the Granger causality between commodity ETFs listed in KRX (Korea Stock Exchange) and the price determinants of the underlying commodities as well as the KOSPI200 index and the underlying indices, and compares the performance of four commodity ETFs : gold futures, oil futures, soybean futures and the copper price. The main findings are as follows : First, the commodity ETFs tracking gold futures, oil futures and soybean futures prices in the sample from the inception to June 2015 were not directly related to the price determinants of the underlying commodities except for the copper ETF which was affected by the oil price as one of the price determinants of copper. In addition, all four ETFs were not related to the KOSPI200 index while they were affected by the underlying indices. Second, the soybean futures ETF outperformed the KOSPI200 index in terms of the cumulative returns and the oil futures ETF recorded the worst performance in terms of the cumulative returns and IR (information ratio). Third, the average tracking error of each ETF except for the oil futures ETF showed a positive value and the price of each ETF except for the soybean futures ETF has been undervalued compared to its net asset value. From the above findings, we can infer that investors in the copper ETF should closely watch the movement of the oil price to enhance the return and investors in the commodity ETFs should first consider agriculture-related ETFs rather than oil-related ETFs considering the price volatility. In addition, the inverse ETFs for copper and agriculture-related products should be introduced following the oil and gold futures inverse ETFs to protect against negative returns in a declining period of commodity prices.

The purpose of this research is to present an Islamic monetary theory of value by analyzing real prices and real money in terms of gold and silver in Egypt from 696 to 1517, a period of 821 years from the Umayyads to the Abbasids.

This paper adopts a quantitative empirical investigation derived from a full population of secondary data to deductively evaluate the measure and store of value functions of money, to affirm an Islamic monetary theory of value, which is also inductively researched through a qualitative interpretation of documentary and content analysis of Islamic and numismatic literature.

The Islamic monetary theory of value leads to an Islamic equation of exchange that reconfirms the outcome of this research, where a high value of money ensures low constant real prices over the long term.

The findings are based on an empirical investigation involving a single price of wheat series as a reasonable proxy for changes in wholesale commodity prices generally, which was successfully adopted by other studies.

The significance for modern monetary policy is that monetary authorities should adopt an Islamic monetary theory of value to achieve genuine monetary and price stability.

Through an Islamic equation of exchange, price stability would ensure real economic growth that protects wealth for holders of money due to a stable purchasing power, and combined with Islamic equity finance, more efficiency in allocating investible resources to increase gross domestic product and employment.

The Islamic monetary theory of value ensures that there is no transfer or confiscation of wealth through inflation, which would impart gains to the issuer due to the excessive supply of money in relation to demand.

Quantitative easing (QE) allowed the US economy to stabilize and return to slow growth. Oil prices increased to $100 during 2010–2013. Then in June 2014, they plunged again dramatically to $40. The purpose of this paper is to develop and test a model that describes the price of oil as depending on six inputs: Federal assets accumulated by the Federal Reserve during the period of QE, the 10-Year Treasury note rate, the price of copper, the trade-weighted dollar, the S&P 500 Index and the US high yield rate for bonds rated CCC or below.

We use 771 overlapping 52-week regressions to capture short-run oil price dynamics.

We find that QE was statistically significant only during 2009–2010, while the US high yield rate played a more significant role, both during and after the crisis.

This paper does not explain the behavior of oil prices prior to 2003.

This paper emphasizes the role of the high yield rate on fracking technology in financing the extraction and production of oil.

The paper has both the theoretical value for researchers in the area of energy, as well as practical application for the oil industry.