Matches in SemOpenAlex for { <https://semopenalex.org/work/W2767687231> ?p ?o ?g. }
- W2767687231 endingPage "69" @default.
- W2767687231 startingPage "62" @default.
- W2767687231 abstract "This paper provides a novel perspective to the oil-stock market nexus by examining the predictive ability of mergers and acquisitions (M&A) over West Texas Intermediate (WTI) oil returns and volatility using a nonparametric quantile-based methodology. Our findings suggest that M&A activity carries significant predictive power over oil return and volatility, while predictability displays remarkably distinct patterns across various quantiles representing normal, bull and bear market states. We also observe that M&A activity by oil firms, i.e. both the acquiring and target firms considered active in the oil and gas (O&G) industry, generally carries greater predictive power over both oil returns and volatility compared to M&A activity by non-oil acquirers, i.e. acquirers that have entered the O&G industry by buying an oil company. Our findings imply that M&A activity in the O&G industry carries valuable fundamental information regarding future expectations on oil price dynamics and should be taken into account in forecasting exercises." @default.
- W2767687231 created "2017-11-17" @default.
- W2767687231 creator A5004930525 @default.
- W2767687231 creator A5015669404 @default.
- W2767687231 creator A5049480238 @default.
- W2767687231 creator A5062136150 @default.
- W2767687231 date "2018-03-01" @default.
- W2767687231 modified "2023-10-14" @default.
- W2767687231 title "Oil returns and volatility: The role of mergers and acquisitions" @default.
- W2767687231 cites W1507259579 @default.
- W2767687231 cites W1519962128 @default.
- W2767687231 cites W1671350945 @default.
- W2767687231 cites W1860928946 @default.
- W2767687231 cites W1897029126 @default.
- W2767687231 cites W1964559744 @default.
- W2767687231 cites W1968371014 @default.
- W2767687231 cites W1991552238 @default.
- W2767687231 cites W2001992115 @default.
- W2767687231 cites W2005178256 @default.
- W2767687231 cites W2015857797 @default.
- W2767687231 cites W2032530866 @default.
- W2767687231 cites W2033343256 @default.
- W2767687231 cites W2037803265 @default.
- W2767687231 cites W2040247608 @default.
- W2767687231 cites W2042059994 @default.
- W2767687231 cites W2045564168 @default.
- W2767687231 cites W2048831473 @default.
- W2767687231 cites W2060542710 @default.
- W2767687231 cites W2062266154 @default.
- W2767687231 cites W2081734556 @default.
- W2767687231 cites W2086967004 @default.
- W2767687231 cites W2092340563 @default.
- W2767687231 cites W2099954488 @default.
- W2767687231 cites W2106005007 @default.
- W2767687231 cites W2114407659 @default.
- W2767687231 cites W2145339411 @default.
- W2767687231 cites W2150675479 @default.
- W2767687231 cites W2207756506 @default.
- W2767687231 cites W2237144617 @default.
- W2767687231 cites W2265554768 @default.
- W2767687231 cites W2265671773 @default.
- W2767687231 cites W2336674513 @default.
- W2767687231 cites W2340054491 @default.
- W2767687231 cites W2556719170 @default.
- W2767687231 cites W2564328920 @default.
- W2767687231 cites W2572501969 @default.
- W2767687231 cites W2592006070 @default.
- W2767687231 cites W2611829463 @default.
- W2767687231 cites W2747531703 @default.
- W2767687231 cites W2763537178 @default.
- W2767687231 cites W3121284392 @default.
- W2767687231 cites W3121328226 @default.
- W2767687231 cites W3122131252 @default.
- W2767687231 cites W3122831108 @default.
- W2767687231 cites W3123851926 @default.
- W2767687231 cites W3123914693 @default.
- W2767687231 cites W3125291388 @default.
- W2767687231 cites W3125791077 @default.
- W2767687231 cites W4254364814 @default.
- W2767687231 cites W4376849534 @default.
- W2767687231 doi "https://doi.org/10.1016/j.eneco.2018.01.034" @default.
- W2767687231 hasPublicationYear "2018" @default.
- W2767687231 type Work @default.
- W2767687231 sameAs 2767687231 @default.
- W2767687231 citedByCount "11" @default.
- W2767687231 countsByYear W27676872312019 @default.
- W2767687231 countsByYear W27676872312020 @default.
- W2767687231 countsByYear W27676872312021 @default.
- W2767687231 countsByYear W27676872312023 @default.
- W2767687231 crossrefType "journal-article" @default.
- W2767687231 hasAuthorship W2767687231A5004930525 @default.
- W2767687231 hasAuthorship W2767687231A5015669404 @default.
- W2767687231 hasAuthorship W2767687231A5049480238 @default.
- W2767687231 hasAuthorship W2767687231A5062136150 @default.
- W2767687231 hasBestOaLocation W27676872312 @default.
- W2767687231 hasConcept C10138342 @default.
- W2767687231 hasConcept C106159729 @default.
- W2767687231 hasConcept C111472728 @default.
- W2767687231 hasConcept C121332964 @default.
- W2767687231 hasConcept C127413603 @default.
- W2767687231 hasConcept C138885662 @default.
- W2767687231 hasConcept C149782125 @default.
- W2767687231 hasConcept C151730666 @default.
- W2767687231 hasConcept C162324750 @default.
- W2767687231 hasConcept C197640229 @default.
- W2767687231 hasConcept C204036174 @default.
- W2767687231 hasConcept C2778136018 @default.
- W2767687231 hasConcept C2984556133 @default.
- W2767687231 hasConcept C526740375 @default.
- W2767687231 hasConcept C548217281 @default.
- W2767687231 hasConcept C556758197 @default.
- W2767687231 hasConcept C62520636 @default.
- W2767687231 hasConcept C78519656 @default.
- W2767687231 hasConcept C86803240 @default.
- W2767687231 hasConcept C91602232 @default.
- W2767687231 hasConceptScore W2767687231C10138342 @default.
- W2767687231 hasConceptScore W2767687231C106159729 @default.
- W2767687231 hasConceptScore W2767687231C111472728 @default.