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In this paper we analyze the impact of extraneous sources of information (viz. news and trade volume) on stock volatility by considering some augmented GARCH models. We suppose that trading volume can be considered as a proportional proxy for information arrivals to the market. Then we will...
Persistent link: https://www.econbiz.de/10010841044
We propose a model for the evolution of arbitrage-free futures prices under a regime-switching framework. The estimation of model parameters is carried out using the hidden Markov filtering algorithms. Comprehensive numerical experiments on real financial market data are provided to illustrate...
Persistent link: https://www.econbiz.de/10010868752
This paper reformulates the valuation of interest rate swaps, swap leg payments and swap risk measures, all under stochastic interest rates, as a problem of solving a system of linear equations with random perturbations. A sequence of uniform approximations which solves this system is developed...
Persistent link: https://www.econbiz.de/10010871168
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Purpose: The online travel environment continues to expand as the numerous peer-to-peer (P2P) marketplaces that comprise the “sharing economy” have also multiplied and expanded, resulting in a move from the traditional hospitality industry to a new digital ecosystem. The purpose of this...
Persistent link: https://www.econbiz.de/10012278135
Purpose: The purpose of this paper is to investigate how using social media (SM) as a tool to influence demand motivates the distribution of different price promotion strategies to encourage consumers to utilize direct bookings, along with how this impacts revenue strategies and profitability....
Persistent link: https://www.econbiz.de/10012278144
This research examines the correlations between the return volatility of cryptocurrencies, global stock market indices, and the spillover effects of the COVID-19 pandemic. For this purpose, we employed a two-stage multivariate volatility exponential GARCH (EGARCH) model with an integrated...
Persistent link: https://www.econbiz.de/10014332800
Purpose: This study aims to predict hotel demand through text analysis by investigating keyword series to increase demand predictions’ precision. To do so, this paper presents a framework for modeling hotel demand that incorporates machine learning techniques. Design/methodology/approach: The...
Persistent link: https://www.econbiz.de/10012539725