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...

Point forecasts of score-driven models have been shown to behave at par with those of state-space models under a variety of circumstances. We show, however, that density rather than point forecasts of plain-vanilla score-driven models substantially underperform their state-space counterparts in...

This paper identifies price dislocation events in EuroSTOXX 50 futures, i.e., periods marked by high absolute returns. Combining public limit order book data with confidential trade repository data collected under the European Market Infrastructure Regulation (EMIR), we analyze market conditions...

This study investigates the mispricing dynamics of index futures across global markets using Vector Autoregressive (VAR) and Autoregressive with Exogenous Variables (ARX) models. Analyzing daily data from 2006 to 2023 for 16 index futures spanning the Asia-Pacific, Europe, and the Americas, the...

This study explores the financialization of agricultural commodities, focusing on how financial derivatives and index funds impact the volatility of agro-food markets. Using a Dynamic Conditional Correlation (DCC) GARCH model, we analyze volatility spillovers among key agricultural commodities,...

In this paper, we develop an equilibrium framework to explain the characteristics of volatility index (VIX) futures prices and returns across maturities. In the framework, the investors prefer VIX futures with specific maturities, and the arbitrageurs optimize portfolios based on mean-variance...

Many investors and financial managers are interested in derivatives, which are financial instruments that derive their value from an underlying asset. These instruments have become popular due to their low initial requirements for futures trading and the need to pay premiums for options. The aim...

The OECD.AI Index provides governments with a robust framework to measure national AI capabilities and track progress in implementing the OECD AI Recommendation. Using a composite measurement framework, the Index combines existing AI-specific indicators from the OECD.AI Policy Observatory with...

This study investigates the co-movement patterns of Asia technology stock indices and cryptocurrencies during the COVID-19 pandemic. The analysis examines Bitcoin and Ethereum, China's Tech index (XA90), and India's Tech index (NSEIT) from 2017 to 2021, representing both before and during...

Realized covariance models specify the conditional expectation of a realized covariance matrix as a function of past realized covariance matrices through a GARCH-type structure. We compare the forecasting performance of several such models in terms of economic value, measured through economic...

CNN Money developed the original US Stock Market Fear and Greed Index in 2012, using seven data points to measure stock market performance. The ability of the Fear and Greed Index to impact on future values of the various stock indices appears to be dependent on the observation period and the...

Most technical trading strategies primarily focus on price trends to guide investment decisions. We consider an alternative approach that employs changes in the volatility index (i.e., VIX) as a trading indicator and test a variety of thresholds in an easy to implement trading strategy that even...

Using local linear regressions based on Russell index reconstitution, we examine how option price efficiency is affected by stock market indexing. We find that put-call parity deviation, a proxy for options price efficiency, is significantly smaller if a stock is at the top of the Russell 2000...

We analyze the joint cross-section of monthly S&P500 stock index options and monthly CBOE Volatility Index options by constructing and evaluating option combinations that appear undervalued for all permissible values of the latent parameters of the unifying option pricing model and the joint...

For nonzero but small values of correlation a method is given to de-correlate the instantaneous volatility from the price process in stochastic volatility models. Once the skew has been symmetrized in this manner, it is possible to imply moments of realized volatility from the index option...

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,...