Behavioral Finance: The Collision of Finance and Psychology BehavioralFinance: TheCollision ofFinanceandPsychology Presentedby: Dr.JoelM.DiCicco,CPA FloridaAtlanticUniversity OrderofPresentation BehavioralFinance 1) Definition 2) Research 3) SignificanceforFinancialPlanners 4) BehavioralFinanceandCustomerProfitability 5) Conclusion Definition “Behavioralfinanceisafieldoffinancethatproposes psychology-basedtheoriestoexplainstockmarketanomalies. Withinbehavioralfinance,itisassumedthattheinformation structureandthecharacteristicsofmarketparticipants systematicallyinfluenceindividuals'investmentdecisionsaswell asmarketoutcomes.”(R.A.Qawi) Definition BehavioralFinanceisasubsetofBehavioralEconomics Definition:NextGenerationofBehavioral Finance • AccordingtoDr.MeirStatmanofSantaClara University,inthefirstgeneration,wetookthe notionfromstandardfinancethatsaidwhat peopleshouldonlycareaboutisgettinghigh returnsandnotgettinglowones.Whenwesaw peoplewhotradedalot,wedescribedthemas irrational. Definition:NextGenerationof BehavioralFinance • Theideaofsecond-generationbehavioralfinanceisthatnot everythingpeopledothat’sdifferentfromthe recommendationsofstandardfinancethatcauseslowreturns isirrational.It’sperfectlynormal. • Asopposedtothefirstgenerationthought,second-gen behavioralportfoliotheoryguidespeopletoinvestmentsthat “reflecttradeoffsbetweenhighexpectedreturns,lowrisk, socialresponsibilityandhighsocialstatus Research:SleepWellorEatWell? Research • Theideabehindbehavioralfinanceisthatpeople’semotions affectprices. • KeyAssumption:AccordingtoDr.R.DeGennaro ofthe UniversityofTennessee,experiencedinvestorsarerestricted intheamountoftradingtheycando.Ifnot,smartinvestors wouldcontinuouslytrade,therefore,indirectlyprotecting emotionaltrading. • Forexample,ifonepanicsandyouwanttosellthestockata lowprice,thecompetitionwillbailyououtastheywillensure, bytheirtrading,thatafairvaluewillstillbeobtained. Research TheBottomLine BehavioralFinanceseekstoaddressemotional patternsbehindthemistakesinvestorsmake. Research:Dr.DavidHirshleiferUCIrvine Research Self- Deception • OveroptimismBias- describesthementalstateinwhich peoplebelievethatthingswillmorelikelygowellforthem thanpoorly.Whenplayingagame,anindividualismore inclinedtothinkheorshewillwin ratherthanlose. Sometimesbeinginagoodmoodcouldcausethis.(Dr.M. Schulmerich,CFA- ManagingDirectorofPECUNDUS). • OverconfidenceBias- tendencytobelieveyouhaveaskillor advantagethatothersdon’t. (Dr.M.Schulmerich).Thisleads investorstooverweighttheirprivateinformationcausing stockstooverreact.Thenapartialcorrectiontakesplace. • ConfirmationBias- tendencytofavorevidencethatsupports whatwealreadybelieve. (Dr.M.Schulmerich).Tendtofollow theirinvestmentguru(s). Research HeuristicSimplification • AffectHeuristic/Representativeness- howperceptionbased purchaseorsaleofstockcaninfluencethepriceofthestock.For example,whenFortuneMagazinehasitssurveyofcorporate reputation,theonesthatdidwellonthesurveymustalsobegood investmentsandvice-versa(ByrneandBrooks) • Anchoring/Salience- isaphenomenausedinthesituationwhen peopleusesomeinitialvaluestomakeestimation,whicharebiased towardtheinitialonesasdifferentstartingpointsyielddifferent estimates(Kahneman &Tversky).Infinancialmarkets,anchoring ariseswhenavaluescaleisfixedbyrecentobservations.Asan example,investorsalwaysrefertotheinitialpurchasepricewhen sellingoranalyzing. • LossAversion/ProspectTheory- thistheorystatesthatpeoplemake decisionsbasedonthepotentialvalueoflossesandgainsrather thanthefinaloutcome,andthatpeopleevaluatetheselossesand gainsusingcertainheuristics(Y.Liu,J.Nacher,et.al)(i.e.rathernot lose$10thangain$10). Research Social • Herding- wheninvestorsinthefinancialmarketplaceimitate eachother.Thiscouldleadtomarketboomsandbusts (Kourtidis,Sevic,etal) Research • Heuristics(rulesofthumb)- Thebehavioralassetpricing model,whilenotsuperiortootherpricingmodelssuchas CAPM,shouldbeconsideredinpractice.Aspectsofthe behavioralassetpricingmodelaredirectlyrelatedtothe varioustypesofaffect,suchassocialresponsibility,prestige, etc.Therefore,itsapplicationmaynotbeuniversalanditmay includefactorsweighteddifferently(Dr.R.Qawi) SignificancetoFinancialPlanners Onecouldfocusthesignificanceofbehavioral financeinthefollowingfinancesub-disciplines: • CorporateFinance- i.e.IrrationalManagers- for instance,accordingtoMalmendierandTate, usuallymanagerstendtooverinvestwhen internalfundsareabundantbutrefrainfrom investingwhenexternalfundsarerequired. SignificancetoFinancialPlanners • PortfolioTheory- AccordingtoShefrinand Statman,forinstance,behavioralportfoliosare formedaslayeredpyramidsinwhicheachlayer isalignedwithanobjective.Thebaselayermay beintendedas“protectionfrompoverty” whereasahigherlayerorriskyassetsrepresents “hopesforriches”WITHOUTANY CONSIDERATIONOFTHECOVARIANCES BETWEENTHELAYERSUNLIKEMODERN PORTFOLIOTHEORY. SignificancetoFinancialPlanners Duetothefocusofthisconference,the remainingportionofthispresentationwill bebasedonIndividualInvestors. SignificancetoFinancialPlanners • AstudybyR.Wood(MBA,DirectorofDigitalStrategyat MediativeandDr.J.Zaichkowsky (SimonFraserUniversity) identifiesandcharacterizessegmentsofindividualinvestors basedontheirsharedinvestingattitudesandbehavior. • Aclustersegmentationanalysiswasusedandbasedonthe responsestothequestionnaires,fourmainsegmentsof individualinvestorsweredetermined. SignificanceforFinancialPlanners • Cluster1-Risk-IntolerantTraders • Cluster2-ConfidentTraders • Cluster3-Loss-AverseYoungTraders • Cluster4-ConservativeLong-TermInvestors SignificanceforFinancialPlanners Cluster1-Risk-IntolerantTraders • Extremelylowrisktolerance. • Mediumlevelofconfidence. • Theymonitortheirinvestmentsatleastweeklybuttrade infrequently. • Fortheirtradingaccounts,theyinvestheavilyinblue-chips andtechnologybasedcompanies. • Fortheirretirement,mutualfundsaretheirvehicleof preference. • Relianceonfinancialadvisors. • Analyzefinancialstatements. Itwouldseemprudentforfinancialadvisorstoconcentratetheir effortsandadviceondiversificationandriskmanagement. Mutualfundsandstableblue-chipinvestmentsmightbe appropriateforthissegment. SignificanceforFinancialPlanners Cluster2-ConfidentTraders • Theirportfoliovaluestendbelargerthanotherclusters. • Theytrademorethan10timesperyearandchecktheir investmentsweekly. • Confidenttradersconsultfriendsforadvice,butdonot consultadvisorsoften. • Shorter-terminvestmenthorizon. • Tendtoinvestintechstocksandsmalltomid-sizecompanies andforretirement,theyalsochosemutualfundsasthe dominantinvestmentvehicle. • Theconfidenttradershadahigherpercentageofreadership ofalmostalltypesofinformation.Theyreadsignificantly morefinancialstatements(notsomuchforvolatile investments)andcheckthenewsreadily. SignificanceforFinancialPlanners Cluster3-Loss-AverseYoungTraders • Thisgroupdoesnotmindtakingrisks,butfeelsterriblewhenthey losemoney.Cluster3investorshavesignificantlylowerlevelsof confidencethantheconfidenttradersincluster2. • Theseinvestorsprobablypersonalizetheirlossesmorebecausethey areyoung,relativelyinexperiencedatinvesting,andcannotaffordto losetheirmoney. • Cluster3investorsarealsothemostlikelytousetheInternetas theirmethodofinvestmentandtheyalsotradequitefrequently. • Likeconfidenttraders,theyowntechnologyandsmallstocksintheir regularportfolios,buthavemorestablemutualfundsintheir retirementportfolios. • ThisgroupusestheInternettoevaluatevolatileinvestments,but usesfinancialadvisorsforstableinvestments.Loss-aversetraders findcurrentnewsmostusefulforvolatileinvestments. SignificanceforFinancialPlanners Cluster4-ConservativeLong-TermInvestors • Conservativelong-terminvestorsarealmosttheexact oppositeofconfidenttraders(Cluster2). • Theyhavelowratingsinconfidenceandtradeinfrequently. • Thisgroupalsoownstheleastnumberofstocksanddoesnot checktheirinvestmentsoften.Theypurchaselong-term conservativemutualfundsmostoftenwiththehelpof financialadvisors.Thisappliestoboththeircurrentholdings andfortheirretirementfunds. • Thisgrouptendstousefinancialadvisorsforriskreduction becausetheydonotwanttobeblamedforpoor performance. • Cluster4donotfinddetailedfinancialstatementsusefulin evaluatinginvestments,buttheydousecurrentnewsto evaluatetheirvolatilestocks. BehavioralFinanceandCustomerProfitability On-LineTradingCompanies. Whatdotheylookforinpotentialcustomers?Whattypesof profiles? Remember,thereisacostforholdingcustomeraccounts.The goalistohaveprofitablecustomersandnotcustomersforthe sakeofhavingcustomers. Traderprofilesaresometimesreferredtoas“Personas.” BehavioralFinanceandCustomerProfitability Inaparticularstudy,L.Xinwu,lookedatanon-linetrading companyandperformedacustomerclusteringwiththese attributes: • MonthlyFrequencyofWebsiteLogin,MonthlyWebsite StayingTime,MonthlyTimesofPurchasing,MonthlyAmount ofPurchasing,TypeofConsumerProductsPurchased,Times ofServiceFeedback,ServiceSatisfaction,Customer Profitability,CustomerProfit,RepeatPurchases, RecommendedNumberofCustomers,PurchasingGrowth Rate. BehavioralFinanceandCustomerProfitability CaseStudyResults ConclusionandQuestions? Formoreinformation,feelfreetocontact: Dr.JoelM.DiCicco,CPA,PFS,CFF,BCA • Email:[email protected] • Cell:954-547-2908
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