This study examines the relationship between the performances of US equity REITs and the market risk premium, SMB, HML, MOM as well as an industry index and a real estate index. The statistical significance of the abnormal returns and the beta coefficients of independent variables are examined. The REITs are categorized in seven groups according to their investment areas and the analysis results are compared. Daily return indexes of US equity REITs are collected for the period between 2005 and 2011. These data are then used to estimate the Capital Asset Pricing Model (CAPM) of Sharpe (1964) and Lintner (1965), the Fama and French&rsquo / s 3-Factor Model (1993) and Carhart&rsquo / s 4-Factor Model (1995). These models are re-estimated by adding an industry and a real estate index. The empirical results show that these added independent variables improve the available models. Additionally, no abnormal return is detected for REITs and their returns have a positive correlation with the SMB and HML factors and a negative correlation with the MOM factor. Therefore,, the REITs are relatively small and have high book-to-market ratios. The negative MOM coefficients indicate that the losers will win and the winners will lose.

Objectivity is often emphasized as one of the fundamental principles for the auditing profession and is also a requirement for preserving satisfactory professional practice. The multiple company scandals in the first decade of the 21st century have created distrust for auditors’ capability to maintain objectivity. The purpose of this study is to contribute with a new way of thinking when it comes to the factors that affect objectivity. Earlier studies have indicated that personality factors may affect work performance in many different fields and this study is exploring the connection between separate personality factors, and the capability of less experienced auditors to maintain objectivity in the relationship with dominating and demanding clients. Data was collected through a survey that was divided into two separate parts where the first part measured the participant’s score on different personality factors, and the other part measured the participant’s score on perceived objectivity. 133 subjects participated in the study and these subjects were divided into non-authorized or non-approved auditors and recently authorized or approved auditors. The result of the study did not indicate any significant connection between perceived objectivity and the different personality factors. However, there was a statistically significant connection between authorization and perceived objectivity. Non-authorized and non-approved auditors in the study tended to score higher on perceived objectivity than did their authorized counterparts. In order to regain the trust for auditors and to strengthen the role of the profession it is important to increase objectivity. The surprising evidence supplied by this study creates a curiosity and urge to further investigate the factors affecting objectivity, especially in combination with possible psychological aspects. This study is unique because it focuses strictly on individual instead of contextual factors and it thereby contributes to the literature about the influence of individual factors as well as to the study of objectivity among auditors. This is a step towards greater understanding of the factors that actually affect objectivity and, as a consequence, also affect the quality of the audit as a control mechanism. / Objektivitet framhålls ofta som en av de grundläggande principerna för revisorsyrket samt ett krav för att upprätthålla god yrkessed. Det tidiga 2000-talets stora företagsskandaler har dock skapat en misstro till revisorer som yrkesgrupp och har dessutom föranlett ett tvivel gentemot revisorers objektivitet. Avsikten med denna studie är att bidra med nya tankebanor kring vad som skulle kunna påverka objektiviteten. Tidigare studier har indikerat att personlighetsfaktorer kan påverka arbetsprestationen inom vitt skilda branscher och denna studie undersöker sambandet mellan olika personlighetsfaktorer och mindre erfarna revisorers förmåga att bibehålla objektiviteten i relationen med dominerande och krävande klienter. Data till studien samlades in genom en tvådelad enkät där en del mätte personligheten och den andra delen mätte graden av objektivitet. I studien deltog 133 respondenter fördelat på revisorsassistenter, revisorer som varken är auktoriserade eller godkända samt revisorer som har auktoriserats det senaste året. Resultatet av studien påvisar inte några signifikanta samband mellan graden av objektivitet och de studerade personlighetsfaktorerna. Istället påvisades ett signifikant samband mellan auktorisation och graden av objektivitet. Revisorer som varken var godkända eller auktoriserade visade i studien tendenser till högre grad av objektivitet än sina auktoriserade kollegor. I fråga om att vinna tillbaka förtroendet för revisorerna och att stärka deras yrkesroll är det viktigt att öka graden av objektivitet. Informationen som den här studien ger är överraskande och skapar framför allt en nyfikenhet och forskarlust att gräva djupare i objektivitetens påverkansfaktorer, och då i synnerhet i kombination med tänkbara psykologiska aspekter. Denna studie är unik då den i allra högsta grad fokuserar på individfaktorer istället för kontextuella faktorer och därmed bidrar till litteraturen om individfaktorers påverkan såväl som till studiet av objektivitet hos revisorer.  Detta är ett led i förståelsen av vilka faktorer som faktiskt har inverkan på objektivitet och därmed också har inverkan på kvaliteten hos revisionen som kontrollfunktion.

The All-Electric Vehicle (AEV) industry development has intensified and is connected to governmentefforts to minimize greenhouse gas emissions and encourage people to buy electric vehicles. This hasled to all the lights turning on newly established all-electric vehicle makers and some older players. Thegrowth of these companies is depicted in their market capitalization, which has seen an unprecedentedrun. However, one can notice a knowledge gap in the analysis of factors affecting such companies'expected rate of return. This research focuses on analyzing the factors from three of the most knownasset pricing models - CAPM, Fama-French 3 Factor, and Fama-French 5 Factor models. It shows whichof these factors are significant in estimating the expected return rate for nine chosen companies and theimpact of each considerable factor on the return rate.Additionally, we calculate the expected return rate using the beforementioned models to verify whetherthere is an uptrend or not in the electric vehicle market. The current research is limited to companieslisted on the US stock market, with only all-electric vehicle production lines. We make an introductionto the AEV theoretical aspects and related market structure. We also present theoretical concepts behindthe expected rate of return perception.The analysis showed that the market risk premium impacts 100% of the companies. The SMB factorinfluences 55% of the companies while the HML factor only 11%. Finally, RMW affects 66% of thechosen dataset and CMA 77%. For all companies, there is a positive expected return rate. Looking atthe significant coefficients for each model, the results are the following: we can observe that for CAPMand all the companies, 100% of the coefficients are positive. For FF3FM, 93% of the significant factorsare positive, while only 7% are negative. Finally, for FF5FM, out of the 28 significant factors, 65% ofthe coefficients are positive, and 35% are negative.

In the realm of asset pricing models, the Fama-French five-factor model has become a foundational framework for explaining the variation of excess stock returns. However, as financial markets continue to evolve, there arises a need to explore potential extensions to capture additional sources of risk and return. One such extension involves incorporating the difference between the actual and expected interest rates as an additional factor. This report delves into the empirical testing of this extended model and assesses its implications for explaining the variation of excess returns on the Swedish stock market. The rationale behind introducing such a factor is rooted in its potential to capture variations in excess returns attributed to unexpected changes in interest rates. To evaluate its efficacy, a comprehensive analysis was undertaken, focusing on three key aspects: the statistical significance of the factor, its impact on model fit, and its role in explaining variations in excess returns. Upon conducting time-series regressions across three sets of nine portfolios, it was found that while the factor exhibited notable coefficients with substantial influence on explaining excess returns, it failed to achieve statistical significance. This outcome prompts a crucial question: can an extension with a factor of high explanatory power but low significance truly enhances our understanding of stock returns? The findings suggest that despite its influence, other factors present in the model might already absorb the explanatory potential attributed to the new factor. Further examination of the extended model's performance provides insights into the overall model fit. The GRS statistic indicates that the extended model offers a superior fit compared to the original five-factor model. However, the adjusted R2 values suggest that this enhanced fit is not translated into a meaningful improvement in the model's ability to explain variations in returns. This prompts a nuanced consideration of whether the complexity introduced by the additional factor aligns with its incremental ability to explain variation in returns. / Inom asset pricing models har Fama-French five-factor model blivit ett av de mest grundläggande ramverken för att beskriva variationen i överavkastning. Eftersom finansmarknaderna fortsätter att kontinuerligt utvecklas finns det ett behov av att undersöka potentiella utvidgningar av modellen för att hitta ytterligare källor till risk och avkastning. Ett exempel av en sådan utveckling är att skillnaden mellan faktiska och förväntade räntor läggs till som en ytterligare faktor. I detta arbete utförs empiriska tester för att kunna bedöma om en utvidgad modell kan användas för att kunna beskriva variationen i överavkastning på den svenska aktiemarknaden. Motivation bakom att införa en sådan faktor är dess potentiella kraft i att beskriva variation i överavkastning hänförligt till oförväntade förändringar av räntor. För att utvärdera dess effektivitet utfördes en omfattande analys som fokuserade på tre nyckelaspekter: faktorns statistiska signifikans, dess påverkan på model fit och dess roll för att förklara variation i överavkastning. Efter att ha utfört tidsserieregressioner över tre uppsättningar av nio portföljer, visade det sig att medan faktorn uppvisade anmärkningsvärda koefficienter med betydande inflytande på att förklara variationen i avkastning, var den emellertid ej statistiskt signifikant. Detta utfall ger upphov till en viktig fråga: kan en utvidgad modell med en faktor med stor förmåga att förklara, men med låg signifikans, förbättra vår förståelse av variation i överkastning? Resultaten antyder att trots den nya faktorns förklarande förmåga, har den förklarande förmåga som tillskrivits den nya faktorn redan absorberats av tidigare faktorer i modellen. Vidare undersökning av den utvidgade modellens prestanda ger insikter i hur modellen är anpassad till observationer. GRS-statistiken visar att den utvidgade modellen är bättre anpassad än den ursprungliga modellen. Dock visar adjusted R2 värdena att detta inte översätts till en meningsfull förmåga att beskriva variationen i överavkastning. Detta ger upphov till en diskussion om huruvida den ökade komplexitet som införs är i linje med dess inkrementella värde i att förklara variation i överavkastning.

Momentum has been a persistent and robust factor in explaining excess future returns, generating great interest from investors and financial analysts. Following the financial crisis of 2008 and the Covid-19 pandemic, there have been instances of significant momentum crashes. US Equity funds are used to gain insights about the properties of momentum and its predictive ability. Momentum performance is evaluated over the period 2000 to 2023. A multifactor model is developed, using factor attribution to explain the impact on fund performance over time by factors such as risk, size, value-growth orientation and momentum. Conclusions can be made that while momentum have previously been successful in predicting future returns, particularly for growth-oriented funds, recent market situations have lead to underperformance. The multifactor model, incorporating size and value-growth orientation, suggests that momentum is not entirely responsible for the poor performance following the Covid-19 crisis. / Momentum har historiskt sett varit en framgångsrik faktor för att predicera framtida avkastning, vilket har skapat stort intresse från investerare och finansiella analytiker. Efter finanskrisen 2008 och Covid-19 pandemin har det skett signifikanta momentumkrascher. Amerikanska aktiefonder används för att undersöka egenskaperna hos momentum och dess prediktiva förmåga. Prestationen av momentum utvärderas under tidsperioden 2000 till 2023. En multifaktormodell utvecklas, som använder faktor-attribution för att förklara hur fonders avkastning påverkas över tid av faktorer såsom risk, marknadsvärde, värde/tillväxt-orientering och momentum. En slutsats dras att även fast momentum har presterat väl historiskt för att predicera framtida avkastning, särskilt för tillväxt-orienterade aktiefonder, så har den senaste tidens marknadsrörelser lett till underprestation. Multifaktormodellen, som innehåller marknadsvärde och värde/tillväxt-orientering, indikerar att momentum inte är en lika stor anledning till underavkastningen efter Covid-19 krisen.

The primary objective of this dissertation is to revisit the CAPM and the Fama-French multi-factor models with a view to evaluate the validity of the probabilistic assumptions imposed (directly or indirectly) on the particular data used. By thoroughly testing the assumptions underlying these models, several departures are found and the original linear regression models are respecified. The respecification results in a family of heterogeneous Student's t models which are shown to account for all the statistical regularities in the data. This family of models provides an appropriate basis for revisiting the empirical adequacy of the CAPM and the Fama-French multi-factor models, as well as other models, such as alternative asset pricing models and risk evaluation models. Along the lines of providing a sound basis for reliable inference, the respecified models can serve as a coherent basis for selecting the relevant factors from the set of possible ones. The latter contributes to the enhancement of the substantive adequacy of the CAPM and the multi-factor models. / Ph. D.

Research has suggested that the Five Factor Model (FFM) is useful in describing personality pathology as well as personality traits. However, there appears to be disproportionate implications of the five domains for problems in living. Previous empirical research concerning the differential direction and magnitude of the relationship of the FFM domains to problems in living and personality disorder symptomatology has perhaps been limited in part by the use of a measure of the FFM that itself includes a disproportionate representation of maladaptive personality functioning across the domains. The current study also tests the hypothesis that the relationship of the FFM domains to problems in living parallels the definition of personality disorder as provided in the American Psychiatric Association’s (2000) diagnostic manual, concerning social impairment, occupational impairment, and distress. These hypotheses were tested in a sample of 79 persons who were within psychiatric treatment. The current study indicated that problems in living relate to the FFM domains in a meaningful manner and that these relationships correspond to the definition of personality disorder. Implications of the findings for future research are discussed.

<p>This dissertation is comprised of three essays in the economics of education. In the first essay, I examine how college students' major choice and major switching behavior responds to major-specific labor market shocks. The second essay explores the incidence and persistence of overeducation for workers in the United States. The final essay examines the role that students' cognitive and non-cognitive skills play in their transition from secondary to postsecondary education, and how the effect of these skills are moderated by race, gender, and socioeconomic status.</p> / Dissertation

Tidigare forskning menar att det äldsta syskonet anses vara mer auktoritärt, det mellersta barnet minst familjeorienterat och det yngsta barnet mer socialt. Uppväxten kan påverka individens KASAM. Studien undersöker om syskonplacering samverkar med människors KASAM, personlighet utifrån femfaktormodellen samt ser till eventuella könsskillnader. Urvalet bestod av högskolestudenter, varav 145 kvinnor och 80 män. Enkätens material analyserades med tvåvägs variansanalyser. Studien uppvisade ingen signifikant skillnad mellan de tre syskonplaceringarna. En tendens till signifikant interaktion visades mellan könen, där kvinnliga mellanbarn har lägre KASAM än de manliga. Studien visade två signifikanta könsskillnader mellan kvinnor och män. Kvinnorna var mer neurotiska och samvetsgranna än männen. Resultatet uppvisade en tendens till signifikans, gällande att kvinnor hade högre grad av personlighetfaktorn öppenhet än männen. Slutligen konstaterades att syskonplaceringen inte samverkar med individens personlighet eller KASAM, men att det finns vissa personlighetsskillnader mellan könen. Resultatet kan bero på brister i studien, som att familjekonstellation inte tillfrågades deltagarna.

Researchers emphasize the role of cognitions in sex offenders' molesting behaviors. Although cognitions are important, little research has examined child molesters' thoughts about themselves in relation to their engagement in treatment. In this study, the NEO-Personality Inventory (NEO-PI-R) was administered to 67 child molesters. Child sexual offenders rated themselves and their view of a typical child molester using two NEO-PI-R versions. The degree to which child sex offenders identify themselves with their view of a typical child molester, and this agreement's relation with engagement in treatment, were investigated. The view that child sex offenders hold about themselves in relation to a typical child molester showed no relation to treatment engagement or length of time in treatment. However, this self-perception was related to the number of children abused.