The Realised-Implied Volatility Relationship: Recent Empirical Evidence from FTSE-100 Stocks

2011 ◽  
Vol 31 (7) ◽  
pp. 639-660 ◽  
Author(s):  
John F. Garvey ◽  
Liam A. Gallagher
Keyword(s):  
Empirical Evidence ◽  
Implied Volatility

scholarly journals Forecasting Realized Volatility of Russian stocks using Google Trends and Implied Volatility

2019 ◽  
Vol 12 (1) ◽  
pp. 79-88
Author(s):  
T. Bazhenov ◽  
D. Fantazzini
Keyword(s):  
At Risk ◽  
Empirical Evidence ◽  
Value At Risk ◽  
Implied Volatility ◽  
Realized Volatility ◽  
Google Trends ◽  
Probability Level ◽  
Sample Analysis ◽  
Search Activity ◽  
Additional Information

This work proposes to forecast the Realized Volatility (RV) and the Value-at-Risk (VaR) of the most liquid Russian stocks using GARCH, ARFIMA and HAR models, including both the implied volatility computed from options prices and Google Trends data. The in-sample analysis showed that only the implied volatility had a significant effect on the realized volatility across most stocks and estimated models, whereas Google Trends did not have any significant effect. The outof-sample analysis highlighted that models including the implied volatility improved their forecasting performances, whereas models including internet search activity worsened their performances in several cases. Moreover, simple HAR and ARFIMA models without additional regressors often reported the best forecasts for the daily realized volatility and for the daily Value-at-Risk at the 1 % probability level, thus showing that efficiency gains more than compensate any possible model misspecifications and parameters biases. Our empirical evidence shows that, in the case of Russian stocks, Google Trends does not capture any additional information already included in the implied volatility.

Challenges to the social motivation theory of autism: The dangers of counteracting an imprecise theory with even more imprecision

2019 ◽  
Vol 42 ◽  
Author(s):  
Mirko Uljarević ◽  
Giacomo Vivanti ◽  
Susan R. Leekam ◽  
Antonio Y. Hardan
Keyword(s):  
Empirical Evidence ◽  
Social Motivation ◽  
Motivation Theory ◽  
The Social

Abstract The arguments offered by Jaswal & Akhtar to counter the social motivation theory (SMT) do not appear to be directly related to the SMT tenets and predictions, seem to not be empirically testable, and are inconsistent with empirical evidence. To evaluate the merits and shortcomings of the SMT and identify scientifically testable alternatives, advances are needed on the conceptualization and operationalization of social motivation across diagnostic boundaries.

Integrating perspectives: How the development of second-personal competence lays the foundation for a second-personal morality

2020 ◽  
Vol 43 ◽  
Author(s):  
John Corbit ◽  
Chris Moore
Keyword(s):  
Empirical Evidence ◽  
Developmental Process ◽  
Focal Point ◽  
Personal Information ◽  
Personal Competence ◽  
Triadic Interactions ◽  
Personal Morality ◽  
Integrative Process

Abstract The integration of first-, second-, and third-personal information within joint intentional collaboration provides the foundation for broad-based second-personal morality. We offer two additions to this framework: a description of the developmental process through which second-personal competence emerges from early triadic interactions, and empirical evidence that collaboration with a concrete goal may provide an essential focal point for this integrative process.

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