volatilityforecastingpackage: A Financial Volatility Package in Mathematica

Noorshanaaz Khodabaccus and Aslam A. E. F. Saib ()
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Noorshanaaz Khodabaccus: University of Technology, Mauritius
Aslam A. E. F. Saib: University of Technology, Mauritius

Computational Economics, 2024, vol. 63, issue 6, No 8, 2307-2324

Abstract: Abstract The relevance of financial volatility forecasting in efficient decision making regarding risk-related assets cannot be subdued. In the financial world, asset price volatility plays a pivotal role in investment decision making and portfolio setups. The prediction of these volatilities usually deal with noisy and non-stationary data bearing heteroscedastic nature. This paper introduces the volatilityforecastingpackage for financial volatility modelling, forecasting and visualization using state-of-the art algorithms. This package allows recourse to algorithms through a user friendly interface supported by the Mathematica framework, that provides easy access to models for high and low frequency data, while accessibly generating forecasts, estimating errors and generating plots. The package also allows analysis of user data and based on the results, a set of models appropriate for the data is suggested for eventual use.

Keywords: Volatility forecasting; Volatility models; Financial econometrics (search for similar items in EconPapers)
JEL-codes: C58 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10614-023-10406-2

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