This study unravels the transmission of volatility spillovers between NIFTY 50 spot prices and the options market, addressing a significant gap in existing studies. It captures how market connectedness evolved during the pre-COVID, COVID and post-COVID periods, offering fresh insights into price...

This paper examines the market reaction to the approval of spot Bitcoin and Ethereum exchange-traded funds (ETFs), focusing on the return dynamics of a functionally diverse types of leading cryptocurrencies, including coins (BTC, BCH, LTC, XRP), smart contract platforms (ETH, ADA, AVAX), and...

The profitable exploitation of asset portfolios in the European electricity markets has become more challenging in recent years. This is particularly true for combined heat and power (CHP) generation units that are often facing must-run conditions due to heat demands that need to be satisfied....

Objective To diagnose the relationship between futures contract trading and the volatility of stocks in the Bank Nifty Index. Methodology Time series analysis and the GARCH model are employed to study the interaction between futures trading and spot market volatility. Findings The analysis...

Using ABA research design and daily indices from South Africa, Eurozone, Japan and the United States of America, this study evaluates the interaction between equity index futures and spot markets before; during and after the COVID-19 pandemic. The results show evidence of cointegration between...

This paper investigates how the introduction of foreign exchange futures has an impact on spot volatility and considers the contemporaneous and dynamic relationship between spot volatility and foreign exchange futures trading activity, including trading volume and open interest in the Thailand...

Background: One of several logistics contexts in which pricing decisions are made involves truckload carriers using reverse auctions to bid for prices they want for their transportation services while operating under uncertainty about factors such as their (i) operations costs and (ii) rivals'...

In many capital-intensive markets, sellers sign long-term contracts with buyers before committing to sunk cost investments. Ex-ante contracts mitigate the risk of under-investment arising from ex-post bargaining. However, contractual rigidities reduce the ability of firms to respond flexibly to...

Previous studies on commodity price bubbles mainly focused on futures markets and ignored the performance of spot markets. Using the price data for corn and soybeans in China, this study identifies the exact bubble dates for the futures and spot markets, and finds asynchronous price bubbles...

Soybeans, a vital source of protein for animal feed and an essential industrial raw material, are the most traded agricultural commodity worldwide. Accurate price forecasting is crucial for maintaining a resilient global food supply chain and has significant implications for agricultural...

We extend beyond conventional mean-to-mean effects to examine how fundamental variables impact the entire distribution of electricity spot prices in the Australian National Electricity Market. Employing quantile regression models, we demonstrate that variable renewable energy (VRE) generation...

This paper examines volatility transmission between the spot and futures bitcoin markets. We use daily series over a sampling period that spans from December 2017 to September 2022. We examine several events that spread severe risk in cryptomarkets, such as the COVID-19 pandemic in 2020,...

We investigate the effect of funding constraints and the financial crisis on the pricing dynamics between the spot and futures markets. Tighter funding constraints and the presence of a financial crisis deter informed investors from utilizing their informational advantage in the futures market,...

In this paper, we characterise the liquidity provision and price discovery roles of dealers and HFTs in the FX spot market during the sample period between 2012 and 2015. We find that they have different responses to adverse market conditions: HFT liquidity provision is less sensitive to spikes...

Emerging Indian stock market volatility pattern tested for an event of the introduction of weekly option on 19th February 2019.Primary investigation confirms that the need of GARCH models for further investigation. The TGARCH methodology has been adopted. The ARCH and GARCH parameters confirm...

This paper examines the impact of futures introduction on Bitcoin price crash risk. Using the difference-in-difference (DID) approach, we find that the crash risk of Bitcoin, proxied by negative coefficient of skewness (NCSKEW) and down-to-up volatility (DUVOL) of the five-minute intra-daily...

This study considers a supply chain consisting of a commodity supplier and a final product manufacturer with uncertain demand. In addition to purchasing from the supplier through a forward contract, the manufacturer can adjust their inventory by trading the commodity in an online spot market...

Electricity price forecasting has become an area of increasing relevance in recent years. Despite the growing interest in predictive algorithms, the challenges are difficult to overcome given the restricted access to relevant data series and the lack of accurate metrics. Multiple models have...

The outbreak of the Covid-19 pandemic has led to a slowdown in the world’s energy trade and changes in the use of energy resources. Meanwhile, global conditions are confused and can affect fossil energy spot markets, including crude oil, gasoline, heating oil, and natural gas. In this paper,...