<codeBook xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="ddi:codebook:2_5 http://www.ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" xmlns="ddi:codebook:2_5">
  <docDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Hur hedgar företag i finansiellt trångmål? - Klassificering av hedgingstrategier i den amerikanska oljeindustrin 2013-2015</titl>
        <parTitl xml:lang="en">How do Firms Hedge in Financial Distress? - Classification of hedging strategies in the US oil industry 2013-2015</parTitl>
        <IDNo agency="SND">2022-47-1-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/rmrg-9341</IDNo>
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        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
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      <holdings URI="https://doi.org/10.5878/rmrg-9341">Landing page</holdings>
    </citation>
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  <stdyDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Hur hedgar företag i finansiellt trångmål? - Klassificering av hedgingstrategier i den amerikanska oljeindustrin 2013-2015</titl>
        <parTitl xml:lang="en">How do Firms Hedge in Financial Distress? - Classification of hedging strategies in the US oil industry 2013-2015</parTitl>
        <IDNo agency="SND">2022-47-1-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/rmrg-9341</IDNo>
        <IDNo agency="DOI">10.1002/fut.22336</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Department of Business Administration, Lund University">Andrén, Niclas</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Företagsekonomiska institutionen, Lunds universitet">Andrén, Niclas</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Goodes Hall, Smith School of Business, Queen's university">Dudley, Evan</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Goodes Hall, Smith School of Business, Queen's university">Dudley, Evan</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Department of Business Administration, Lund University">Jankensgård, Håkan</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Företagsekonomiska institutionen, Lund universitet">Jankensgård, Håkan</AuthEnty>
      </rspStmt>
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      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2022-04-07" />
      </distStmt>
      <verStmt>
        <version elementVersion="1" elementVersionDate="2022-04-07" />
      </verStmt>
      <holdings URI="https://doi.org/10.5878/rmrg-9341">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject />
      <abstract xml:lang="en" contentType="abstract">We examine how firms hedge in financial distress. Using hand-collected data from oil and gas producers, we find that derivative portfolios in these firms are characterized by short put options. These positions are part of a composite three-way collar strategy that combines buying put options and selling put and call options with differing strike prices. We show that because liquidity demand varies with the degree of financial distress, the three-way collar strategy is the optimal risk management strategy that preserves incentives for future growth.

The sample consists of publicly traded oil and gas producers in the US (SIC code 1311) between Q1:2013 and Q4:2015. Hedging strategies are hand-coded based on quarterly reports (10Q/10-Q reports). We sum each firm's outstanding derivatives positions regardless of maturity for each quarter and create a variable per hedging strategy that takes the value 1 if the sum is positive, zero otherwise. We classify individual firms’ hedge portfolios into five distinct hedging strategies based on the character of the provided protection and the cash flow impact. The dataset contains the classifiers for these five hedging strategies and is identified by quarter and global company key (GVKEY).

The dataset contains quarterly classification of US oil companies' hedging strategies over the period 2013-2015. The strategies are classified based on reporting in each company's quarterly report. Five strategies are identified (described in the data file). Companies are identified by Global Company Key. The Global Company Key or GVKEY is a unique six-digit number key assigned to each company in the Capital IQ Compustat database</abstract>
      <abstract xml:lang="sv" contentType="abstract">Vi undersöker hur företag i finansiellt trångmål använder derivat för hedging. Vi studerar amerikanska oljeproducenter under perioden Q1:2013 till Q4:2015. Hedgingstrategier handkodas med hjälp av företagens kvartalsrapporter. Vi skapar en variabel per hedgingstrategi som antar vardet 1 om företaget använder hedgingstrategin, noll annars. Vi klassificerar företags derivatportföljer i fem distinkta hedgingstrategier baserat på det skydd de erbjuder och hur de påverkar företagets kassaflöden. Datasetet innehåller variablerna för de fem hedgingstrategierna och identifieras per kvartal och global company key (GVKEY).

Datasetet innehåller kvartalsvis klassificering av amerikanska oljebolags hedgingstrategier under perioden 2013-2015. Strategierna är klassificerade baserade på rapportering i respektive företags kvartalsrapport. Fem strategier identifieras (beskrivs i datafilen). Företag identifieras med Global Company Key. Global Company Key eller GVKEY är en unik sexsiffrig kod som tilldelas varje företag i Capital IQ Compustat-databasen.</abstract>
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        <collDate xml:lang="en" date="2012-12-31" event="start">2012-12-31</collDate>
        <collDate xml:lang="en" date="2015-12-31" event="end">2015-12-31</collDate>
        <nation xml:lang="en" abbr="US">United States</nation>
        <nation xml:lang="sv" abbr="US">USA</nation>
        <anlyUnit xml:lang="en" unit="Organization/Institution">Organization/Institution<concept vocab="DDI Analysis Unit" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/AnalysisUnit/2.1.3?languageVersion=en-2.1.3">Organization/Institution</concept></anlyUnit>
        <anlyUnit xml:lang="sv" unit="Organisation/institution">Organisation/institution<concept vocab="DDI Analysis Unit" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/AnalysisUnit/2.1.3?languageVersion=sv-2.1.3">Organisation/institution</concept></anlyUnit>
        <universe xml:lang="en">The population consists of publicly traded oil and gas producers in the US (SIC code 1311)</universe>
        <universe xml:lang="sv">Populationen består av amerikanska oljeproducenter (SIC 1311)</universe>
        <dataKind xml:lang="en">Numeric</dataKind>
      </sumDscr>
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    <method>
      <dataColl>
        <timeMeth xml:lang="en">Longitudinal: Panel: Continuous<concept vocab="DDI Time Method" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/TimeMethod/1.2.3?languageVersion=en-1.2.3">Longitudinal: Panel: Continuous</concept></timeMeth>
        <timeMeth xml:lang="sv">Longitudinell: Panel: Kontinuerlig<concept vocab="DDI Time Method" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/TimeMethod/1.2.3?languageVersion=sv-1.2.3">Longitudinell: Panel: Kontinuerlig</concept></timeMeth>
        <sampProc xml:lang="en">The sample consists of publicly traded oil and gas producers in the US (SIC code 1311) between Q1:2013 and Q4:2015. 

The sample period is Q1:2013 to Q4:2015. Firms are eligible for inclusion in the sample if their headquarters are in the US, they are publicly listed, and they have at least $1mn in total assets in all quarters. We furthermore require that 10-Qs (quarterly reports) be available from the online EDGAR database, and that firms report their derivative positions in sufficient detail to quantify different hedging strategies. The latter criterion essentially means that firms must report their hedging position in tabular form. Finally, a firm is eligible if it uses derivatives in at least one quarter of the sample period.<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=en-2.0.1">The sample consists of publicly traded oil and gas producers in the US (SIC code 1311) between Q1:2013 and Q4:2015. 

The sample period is Q1:2013 to Q4:2015. Firms are eligible for inclusion in the sample if their headquarters are in the US, they are publicly listed, and they have at least $1mn in total assets in all quarters. We furthermore require that 10-Qs (quarterly reports) be available from the online EDGAR database, and that firms report their derivative positions in sufficient detail to quantify different hedging strategies. The latter criterion essentially means that firms must report their hedging position in tabular form. Finally, a firm is eligible if it uses derivatives in at least one quarter of the sample period.</concept></sampProc>
        <sampProc xml:lang="sv">Urvalsperioden är Q1:2013 till Q4:2015. Företag inkluderas i samplet om huvudkontoret ligger i USA, de är börsnoterade och har totala tillgångar om minst $1mn varje kvartal. Vi kräver att kvartalsrapporter är tillgängliga och derivatpositioner rapporteras tillräckligt detaljerat för att möjliggöra kvantifiering av hedgingstrategier. Slutligen måste företag ha derivat i minst ett kvartal under urvalsperioden.<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=sv-2.0.1">Urvalsperioden är Q1:2013 till Q4:2015. Företag inkluderas i samplet om huvudkontoret ligger i USA, de är börsnoterade och har totala tillgångar om minst $1mn varje kvartal. Vi kräver att kvartalsrapporter är tillgängliga och derivatpositioner rapporteras tillräckligt detaljerat för att möjliggöra kvantifiering av hedgingstrategier. Slutligen måste företag ha derivat i minst ett kvartal under urvalsperioden.</concept></sampProc>
        <sampProc xml:lang="en">Total universe/Complete enumeration<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=en-2.0.1">Total universe/Complete enumeration</concept></sampProc>
        <sampProc xml:lang="sv">Hela populationen/total räkning<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=sv-2.0.1">Hela populationen/total räkning</concept></sampProc>
        <collMode xml:lang="en">Coding of derivatives positions in quarterly reports<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Coding of derivatives positions in quarterly reports</concept></collMode>
        <collMode xml:lang="sv">Kodning av derivatpositioner i kvartalsrapporter<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Kodning av derivatpositioner i kvartalsrapporter</concept></collMode>
        <collMode xml:lang="en">Content coding<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Content coding</concept></collMode>
        <collMode xml:lang="sv">Innehållskodning<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Innehållskodning</concept></collMode>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <restrctn xml:lang="en">Access to data through SND. Data are freely accessible.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via SND. Data är fritt tillgängliga.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">openAccess</conditions>
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    </dataAccs>
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