{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/92762"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/92762","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Can volatility based technical signals capture consistent abnormal equity index returns?","abstract":"This thesis examines a combined technical signal approach (CSA) on four stock index implied volatility indices for the aim of day trading the underlying stock indices. The purpose is to determine whether excess returns derived from the use of a combined technical trading strategy are statistically significantly different than zero. The null hypothesis is that the average daily rate of excess return of the strategy, for every underlying stock index is zero; the alternative hypothesis is that the average daily rate of excess return of the strategy, per equity index, is different than zero, both before and after trading costs and dividends are considered. A two-tailed z test is utilized to test the statistical significance of the difference between the annualized mean daily rate of excess return of the day trading strategy and zero. For every implied volatility index, all available data is utilized to determine the persistence of excess returns over a robust timeframe, the total available sample period. White's Reality Check Test is applied to each excess return series, first by utilizing the moving blocks bootstrapping method, to determine whether mean excess returns are statistically significantly different than zero, regardless of the shapes of the original distributions of excess returns. This research also tests whether each distribution of excess returns for each of the four daily traded stock indices conforms to a normal distribution using the Jarque-Bera goodness of fit to normality test, before and after transaction costs and dividends are considered. Three different trading strategies are compared: a volatility based CSA that utilizes the momentum approach to day trading, an equity based CSA that utilizes the mean reversion approach to day trading, and a buy and hold approach. A final measure of performance, the Sharpe Ratio, is utilized in order to determine which strategy has the highest risk adjusted returns.","abstract_html":"This thesis examines a combined technical signal approach (CSA) on four stock index implied volatility indices for the aim of day trading the underlying stock indices. The purpose is to determine whether excess returns derived from the use of a combined technical trading strategy are statistically significantly different than zero. The null hypothesis is that the average daily rate of excess return of the strategy, for every underlying stock index is zero; the alternative hypothesis is that the average daily rate of excess return of the strategy, per equity index, is different than zero, both before and after trading costs and dividends are considered. A two-tailed z test is utilized to test the statistical significance of the difference between the annualized mean daily rate of excess return of the day trading strategy and zero. For every implied volatility index, all available data is utilized to determine the persistence of excess returns over a robust timeframe, the total available sample period. White's Reality Check Test is applied to each excess return series, first by utilizing the moving blocks bootstrapping method, to determine whether mean excess returns are statistically significantly different than zero, regardless of the shapes of the original distributions of excess returns. This research also tests whether each distribution of excess returns for each of the four daily traded stock indices conforms to a normal distribution using the Jarque-Bera goodness of fit to normality test, before and after transaction costs and dividends are considered. Three different trading strategies are compared: a volatility based CSA that utilizes the momentum approach to day trading, an equity based CSA that utilizes the mean reversion approach to day trading, and a buy and hold approach. A final measure of performance, the Sharpe Ratio, is utilized in order to determine which strategy has the highest risk adjusted returns.","abstract_has_math":false,"creators":["Falakos, Menas Constantine"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Agricultural & Applied Econ","degree_department":null,"school":null,"contributors":["Mallory, Mindy"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-10T17:50:09Z","date_published":"2016-11-10T17:50:09Z","updated_at":"2026-07-22T22:26:35Z","subjects":["Volatility Technical Analaysis"],"languages":["en"],"rights":["Copyright 2016 Menas Falakos"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/92762","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Mallory, Mindy"]},{"key":"dc:creator","label":"Author","values":["Falakos, Menas Constantine"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-11-10T17:50:09Z","2016-07-11","2016-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Agricultural & Applied Econ"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Volatility Technical Analaysis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Menas Falakos"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/92762"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis examines a combined technical signal approach (CSA) on four stock index implied volatility indices for the aim of day trading the underlying stock indices. The purpose is to determine whether excess returns derived from the use of a combined technical trading strategy are statistically significantly different than zero. The null hypothesis is that the average daily rate of excess return of the strategy, for every underlying stock index is zero; the alternative hypothesis is that the average daily rate of excess return of the strategy, per equity index, is different than zero, both before and after trading costs and dividends are considered. A two-tailed z test is utilized to test the statistical significance of the difference between the annualized mean daily rate of excess return of the day trading strategy and zero. For every implied volatility index, all available data is utilized to determine the persistence of excess returns over a robust timeframe, the total available sample period. White's Reality Check Test is applied to each excess return series, first by utilizing the moving blocks bootstrapping method, to determine whether mean excess returns are statistically significantly different than zero, regardless of the shapes of the original distributions of excess returns. This research also tests whether each distribution of excess returns for each of the four daily traded stock indices conforms to a normal distribution using the Jarque-Bera goodness of fit to normality test, before and after transaction costs and dividends are considered. Three different trading strategies are compared: a volatility based CSA that utilizes the momentum approach to day trading, an equity based CSA that utilizes the mean reversion approach to day trading, and a buy and hold approach. A final measure of performance, the Sharpe Ratio, is utilized in order to determine which strategy has the highest risk adjusted returns.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, Menas Falakos, accepted the attached license on 2016-07-06 at 11:53.","The student, Menas Falakos, submitted this Thesis for approval on 2016-07-06 at 11:58.","This Thesis was approved for publication on 2016-07-11 at 14:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9780 on 2016-11-09 at 10:22:53","Made available in DSpace on 2016-11-10T17:50:09Z (GMT). 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The null hypothesis is that the average daily rate of excess return of the strategy, for every underlying stock index is zero; the alternative hypothesis is that the average daily rate of excess return of the strategy, per equity index, is different than zero, both before and after trading costs and dividends are considered. A two-tailed z test is utilized to test the statistical significance of the difference between the annualized mean daily rate of excess return of the day trading strategy and zero. For every implied volatility index, all available data is utilized to determine the persistence of excess returns over a robust timeframe, the total available sample period. White's Reality Check Test is applied to each excess return series, first by utilizing the moving blocks bootstrapping method, to determine whether mean excess returns are statistically significantly different than zero, regardless of the shapes of the original distributions of excess returns. This research also tests whether each distribution of excess returns for each of the four daily traded stock indices conforms to a normal distribution using the Jarque-Bera goodness of fit to normality test, before and after transaction costs and dividends are considered. Three different trading strategies are compared: a volatility based CSA that utilizes the momentum approach to day trading, an equity based CSA that utilizes the mean reversion approach to day trading, and a buy and hold approach. A final measure of performance, the Sharpe Ratio, is utilized in order to determine which strategy has the highest risk adjusted returns.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-11-09 without embargo terms","The student, Menas Falakos, accepted the attached license on 2016-07-06 at 11:53.","The student, Menas Falakos, submitted this Thesis for approval on 2016-07-06 at 11:58.","This Thesis was approved for publication on 2016-07-11 at 14:14.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9780 on 2016-11-09 at 10:22:53","Made available in DSpace on 2016-11-10T17:50:09Z (GMT). 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