La présente recherche a pour objectif d’étudier les effets que peuvent exercer la conception du travail sur le type de conflit qui émerge en milieu de travail. La notion de conception du travail se divise en trois dimensions, soit les caractéristiques reliées à la tâche, les caractéristiques reliées aux connaissances et les caractéristiques sociales. Ces dimensions sont mises en relation avec les deux types de conflit en milieu de travail, soit le conflit relié à la tâche et le conflit relié à la relation. Cette recherche vise également à vérifier l’effet modérateur des traits de personnalités sur les relations entre les dimensions de la conception du travail et celles du conflit en milieu de travail. Cette recherche est basée sur 473 participants qui occupent un emploi rémunéré et qui ont vécu une situation de conflit en milieu de travail allant jusqu’à 6 mois avant la période de sondage, allant du 14 au 18 janvier 2012. Les résultats indiquent qu’il n’y a pas de relations particulières entre la conception du travail et le type de conflit en milieu de travail. En ce qui a trait aux effets des traits de personnalité, les résultats indiquent que ces variables n’ont aucuns effets modérateurs sur la relation entre la conception du travail et le type de conflit en milieu de travail. Globalement, les résultats ne démontrent aucune relation entre la conception du travail et les types de conflit en milieu de travail, ou les effets modérateurs que les traits de personnalités peuvent avoir sur ces relations. / The goal of this research is to study the effect of work design on the type of conflict that emerges in the workplace. The concept of work design is divided in two three dimensions, namely task, knowledge and social characteristics. These dimensions are linked to the two dimensions of workplace conflict, that is, task conflict and relationship conflict. This research is also intended to verify the moderating effect of personality traits on the association between work design and workplace conflict. This study is based on 473 employed participants who have experienced workplace conflict up to 6 months prior to the canvass period, which was from January 14th to the 18th 2012. The results indicate that there is no particular association between work design and conflict in the workplace. With regards to the moderating effect of personality traits, results indicate that these variables do not moderating the association between the dimensions of work design and the type of workplace conflict. Overall, results do not show a relation between work design and types of workplace conflict, or the moderating effect that personality traits can have on these relations.

本文利用向量自我迴歸模型所得出來的殘差值來模擬未預期到的總體經濟訊息，以期限利差和一個月定存利率來捕捉殖利率曲線，以違約利差和股利收益率來描繪資產報酬的條件機率分布，本文實證未預期到的期限利差和未預期到的違約風險與淨值市價比因子和市值規模因子包含相同的訊息，因此後續檢驗這些能夠捕捉未來投資機會的總體經濟訊息比起Fama-French三因子模型是否對台灣股票橫斷面的平均報酬更具有解釋能力。 實證方法採用Fama-MacBeth(1973)兩階段迴歸方法，Fama-French三因子模型實證結果顯示台灣股票市場存在著負向的淨值市價比效果，但卻不存在著規模效果，這與國外一些學者研究1980年代之後規模效果逐漸消失的結論相同。在實證未預期到的總體經濟訊息模型時，由於被解釋變數為股票超額報酬率，因此常數項應該為不顯著的關係，但此假設強烈的被未預期到的總體經濟訊息模型拒絕，代表此模型可能遺漏了重要的解釋變數。因此，Fama-French 三因子模型對台灣股票橫斷面平均報酬率的解釋能力比未預期到的總體經濟訊息模型更佳。 / The Fama and French factors HML and SMB are correlated with innovations in variables that describe investment opportunities. I find that shocks to term spread and shocks to default spread have the same information with the Fama and French factors HML and SMB. This paper investigates whether a model that includes shocks to the aggregate dividend yield and term spread, default spread, and one-month deposit interest rate can explain the cross section of average return on Taiwan stock market as well as the Fama and French can. Using the Fama-MacBeth (1973) two steps cross-sectional regressions, I find there exists the negative book-to-market effect on Taiwan stock market, but the size effect disappears. Since the dependent variables in the regression is excess returns, the intercept of the cross-sectional regression should be zero. This hypothesis is strongly rejected in the case of the model includes shocks to the Macroeconomics variables and the market portfolio. It means this model omits some important variables, so the Fama and French three-factor model can explain the cross section of average returns better.

In questa tesi, l’analisi verte su risk-adjusted performance, proprietà statistiche e caratteristiche dei fondi hedge (FH). Nel primo articolo, i risultati relativi al survivorship bias e backfill bias indicano che l’impatto delle distorsioni è diverso a seconda delle strategie. Utilizzando il modello multifattoriale di Fung and Hsieh (2004), l’analisi della performance indica che il 42% dei FH ha ottenuto un rendimento superiore al mercato. Infine, utilizzando dei metodi parametrici e non parametrici, l’analisi della persistenza indica differenti livelli di persistenza a seconda della strategia. Nel secondo articolo, vengono analizzati i fondi di fondi hedge (FOHFs). I risultati sono particolarmente interessanti. In primo luogo, i FOHFs e le sotto strategie hanno generato un excess return positivo; inoltre l’alfa ottenuto attraverso il modello a 7 fattori di Fung and Hsieh (2004) risulta elevato. In secondo luogo, i FOHFs e le sotto strategie hanno un rendimento inferiore a quello dell’indice dei FH. In terzo luogo, le correlazioni tra gli indici dei FOHFs e l’indice azionario sono inferiori rispetto alle correlazioni tra l’indice dei FH e gli indici azionari. Infine, l’indice dei FH e quelli dei FOHFs sono positivamente correlati con l’indice azionario quando il mercato tende al ribasso, ma risultano non correlati con l’indice azionario quando il mercato tende al rialzo. Rispetto all’indice dei FH, gli indici dei FOHFs hanno una correlazione minore con gli indici azionari in entrambe le fasi del mercato, suggerendo che i FOHFs forniscono benefici maggiori in termini di diversificazione rispetto ai fondi hedge puri. / In this thesis, I examine the risk-adjusted performance, statistical properties and fund characteristics of hedge fund investments. In Essay One, results of survivorship bias and backfill bias by investment styles indicate that biases are different across styles. Using a multi-factor model of Fung and Hsieh (2004), the analysis of performance indicates that 42% of the hedge funds significantly outperformed the market. Finally, using parametric and non-parametric methods, the analysis of persistence indicates different degree of persistence depending on the hedge fund strategy. In Essay Two, I analyse fund of hedge funds (FOHFs). I find several interesting results. First, FOHFs and the sub-strategies earn positive excess returns and a high Fung and Hsieh 7-factor alpha. Second, FOHFs and the sub-strategies underperform the hedge fund index (HFI). Third, the correlations between FOHF indices and equity index are lower than correlations between HFI and equity indices. Finally, hedge funds and FOHFs are positively correlated with the equity index in the bear markets but uncorrelated with the equity index in the bull markets. Compared to HFI, FOHF indices have lower correlation with equity index in both bull and bear markets, indicating that FOHFs provide better diversification benefits than individual hedge funds.

在知識經濟時代下，無形資產的對於公司的重要性愈來愈高。有別於在工業時代下的生產重心，著重在大量的土地，機器設備...等有形的資產，在二十一世紀競爭中致勝的關鍵因素卻是那些無實體存在的知識累積，例如：研究發展的能力、員工的素質、顧客關係的維持…等;然而，會計處理對於無形資產卻是停留在歷史的取得成本，而不是現時的市場價值，更甚，有些無形資產根本無法入帳;因此，資本市場如何看待與反應公司的無形資產就是一項有趣的議題。本研究之研究目的是：依據Fama and French (1993)三因子模型，以橫斷面的分析方式，欲控制了系統風險、規模效果和淨值與市價比效果後，進一步分別探討研究發展活動與專利權對於股票報酬之影響，是否擁有投入愈多的研發活動與專利可以在股票市場獲得愈高的報酬？是否研究發展費用與專利權數對於股票報酬有遞延效果的影響？ 樣本期間從民國七十一年到民國九十三年，包含上市與上櫃公司，總共有21717筆觀察值，在研究發展活動方面，本研究採用了當期研究發展費用與依五年資本化後之研究發展費用二種替代變數，專利權方面，採用專利權數與累積專利權數二種代理變數，其實證結果發現： (1)當期研究發展費用溢酬與股票超額報酬呈現顯著的正向相關，將研究發展費用依五年資本化後，資本化後之研究發展費用溢酬仍與股票超額報酬呈現顯著的正向相關。 (2)專利權數之溢酬與股票超額報酬卻是顯著的負相關，累積專利權數之溢酬與股票超額報酬也是呈現顯著的負向關係，可能的原因是：在本研究樣本裡的大部分的專利權數量是非常集中在少部分的公司。 (3)研究發展溢酬對於超額報酬最多有三年的遞延效果，專利權溢酬對於超額報酬至少有五年遞延的效果。 (4)當期研究發展費用溢酬與資本化後之研究發展費用溢酬對於超額報酬有顯著不同的影響，二者比較下，當期研究發展費用溢酬對於股票報酬的影響程度大於資本化後之研究發展費用溢酬。可能的原因是:Fama and French三因子模型某種程度上代表著流量的概念，因此，當期研究發展費用溢酬的效果較為顯著。 (5)在專利權數之溢酬與累積專利權數之溢酬二者之間，對於超額報酬不具有顯著差異性的影響。可能的原因是:大部分的樣本都沒有專利權，因此，專利權數之溢酬與累積專利權數之溢酬沒有太大的差異。 (6)以研究發展與專利來說，二者對於超額報酬具有顯著不同差異的影響。 / Since the change in the global economy in the last decade, from manufacturing and industry-based to knowledge-based, it has created new interest in intellectual capital and increased the demand for measuring and reporting the effect on business and profitability. Nonetheless, accounting conventions based on historical cost often understate their value. Thus, from a practical point of view, how the stock market responses to the innovative activity is an interesting issue. Here, the major objective of this study is, on the basis of the three-factor model in Fama and French (1993), to investigate the relationship between innovation activities in firms and stock returns. That is, the aim in this study is to examine whether the intellectual capital, in particularly focusing on R&D and patents, has impact on stock returns. Does the market provide the premium for the value of the innovation in firms? Do the stocks with more innovation efforts worth the higher market rate of returns? Do R&D and patents have time lag effect on returns? We find that: (1) The return premiums are significantly greater for high-level of R&D than for low-level R&D. The mimicking returns both for the R&D-expense factor and capitalized-R&D factors are significantly positive related to excess stock returns. (2) Contrary to our intuition and expectation, the mimicking returns both for patent count and cumulated patent count are significantly negative associated with excess stock returns. One possible explanation is that the distribution of patented innovation is known to be extremely skewed, implying that a few patents are very valuable and many are worth almost nothing. (3) R&D-related return premiums have 3-year lag effect on excess stock returns at most. As for patent-related return premiums, it shows 5-year lag at least for excess stock returns. (4) R&D expenses have more impact on stock returns than the R&D capitalization. One possible explanation is that the “flow” concept is more suitable than the “stock” concept in the Fama and French (1993) regression of stock returns. (5) There is no difference between patent count and cumulated patent count in explaining stock returns. It is likely that, for a large proportion of the sample, they do not possess any patents. (6) When it comes to compare R&D to patents, we find that there is statistically significant difference between the two in explaining excess stock returns.

[Truncated abstract] This thesis examines competing asset-pricing models in Australia with the goal of establishing the model which best explains cross-sectional stock returns. The research employs Australian equity data over the period 1980-2001, with the major analyses covering the more recent period 1990-2001. The study first documents that existing asset-pricing models namely the capital asset pricing model (CAPM) and domestic Fama-French three-factor model fail to meet the widely applied Merton?s zero-intercept criterion for a well-specified pricing model. This study instead documents that the US three-factor model provides the best description of Australian stock returns. The three US Fama-French factors are statistically significant for the majority of portfolios consisting of large stocks. However, no significant coefficients are found for portfolios in the smallest size quintile. This result initially suggests that the largest firms in the Australian market are globally integrated with the US market while the smallest firms are not. Therefore, the evidence at this point implies domestic segmentation in the Australian market. This is an unsatisfying outcome, considering that the goal of this research is to establish the pricing model that best describes portfolio returns. Given pervasive evidence that liquidity is strongly related to stock returns, the second part of the major analyses derives and incorporates this potentially priced factor to the specified pricing models ... This study also introduces a methodology for individual security analysis, which implements the portfolio analysis, in this part of analyses. The technique makes use of visual impressions conveyed by the histogram plots of coefficients' p-values. A statistically significant coefficient will have its p-values concentrated at below a 5% level of significance; a histogram of p-values will not have a uniform distribution ... The final stage of this study employs daily return data as an examination of what is indeed the best pricing model as well as to provide a robustness check on monthly return results. The daily result indicates that all three US Fama-French factors, namely the US market, size and book-to-market factors as well as LIQT are statistically significant, while the Australian three-factor model only exhibits one significant market factor. This study has discovered that it is in fact the US three-factor model with LIQT and not the domestic model, which qualifies for the criterion of a well-specified asset-pricing model and that it best describes Australian stock returns.

NY, Columbia Univ., Graduate School of Arts and Sciences, Diss.--New York, 2003. / Kopie, ersch. im Verl. UMI, Ann Arbor, Mich. - Enth. 3 Beitr.

[pt] Diversos estudos envolvendo modelos de fatores para apreçamento de ativos contestam a validade do CAPM. Ao longo do tempo, para explicar as chamadas anomalias dos retornos das ações, os trabalhos se voltaram tanto para a busca de novos fatores de risco – os modelos multifatores – bem como para o tratamento dinâmico das sensibilidades relacionadas aos fatores de risco – os modelos condicionais de apreçamento de ativos. Os modelos condicionais, de um ou mais fatores, explicitam o valor esperado do retorno de um ativo de forma condicional a um conjunto de informação disponível no período anterior. As sensibilidades aos fatores de risco, os betas, são estimados como parâmetros dinâmicos a partir de diferentes abordagens na literatura. Nesta tese, o objetivo é o estudo de modelos condicionais na forma espaço-estado, em que os betas seguem processos estocásticos e são estimados a partir do filtro de Kalman, de forma a verificar o ganho na capacidade explicativa dos modelos. Dois estudos empíricos são realizados, um para o CAPM condicional no mercado brasileiro e outro para o modelo de três fatores condicional de Fama e French no mercado norte-americano. De modo geral, os resultados ao se considerar a variação temporal das sensibilidades aos fatores são melhores do que os obtidos a partir dos modelos incondicionais correspondentes, tanto no que se refere ao ajuste aos dados quanto à redução proporcionada nos erros de apreçamento. / [en] The validity of CAPM is contested by several studies based on factor models. During the last decades, aiming to explain the known financial anomalies of stock returns, two major lines of research emerged: the use of asset pricing models that allow for multiple sources of risk – the multifactor models – as well as the dynamic approach to model the sensitivities of returns in respect to the risk factors – the conditional models. The conditional models, based on one or more risk factors, explicit the expected return conditional to the information set available in the previous period. The factor sensitivities, or the betas, are estimated as dynamic parameters according to different approaches in the literature. The main objective in this thesis is to study conditional pricing models based on state-space approach. The betas dynamics are described as stochastic processes and estimated through the Kalman filter in order to verify the models ability to explain the returns and related financial anomalies, such as size and value effects. Two empirical applications are presented: one for Conditional CAPM in the Brazilian stock market and another for Conditional Fama and French (1993) three-factor model in the American stock market. In both cases, time-varying sensitivities treatment provides better model adjustment as well as smaller pricing errors compared to correspondent unconditional models.

Submitted by Yugo Watari (ywatari@gmail.com) on 2017-09-19T16:23:48Z No. of bitstreams: 1 main.pdf: 2611498 bytes, checksum: 1f50a4c20e7433334a4e2b45acd23424 (MD5) / Approved for entry into archive by Thais Oliveira (thais.oliveira@fgv.br) on 2017-09-19T16:31:51Z (GMT) No. of bitstreams: 1 main.pdf: 2611498 bytes, checksum: 1f50a4c20e7433334a4e2b45acd23424 (MD5) / Made available in DSpace on 2017-09-19T17:31:18Z (GMT). No. of bitstreams: 1 main.pdf: 2611498 bytes, checksum: 1f50a4c20e7433334a4e2b45acd23424 (MD5) Previous issue date: 2017-08-21 / We approach portfolio construction with risk based allocation, using volatility as the measure of risk, and applying to the stock markets. We start by obtaining generic risk factors based on the approach of Fama&French; and them we decompose the volatility in risk contributions of those generic risk factors. Differing from previous works, instead of allocating in indexes that represent the generic risk factors, we allocate at the asset level, in hopes that this will lead to reproducing the effects of inveting on those indexes, which brings additional complexity to the problem. This was motivated by investors not always having access to invest in theses indexes. Finally, for the purpose of illustration, we apply the metodology to the brazilian stock markets, selecting as risk factors, the five Fama&French risk factors. We obtain portfolios with the desired risk contributions, but as we look in to the weights of each risk factor, there is alocations of weights in the risk factors not related to those of Fama&French, even though the risk contributions are neutralized. We argue that these allocations are preventing from obtaining exposures to the distinct characteristics of each Fama&French risk factor. / A construção de portfólios, ou seja, a definição da composição de uma carteira de ativos, é abordada, nesse trabalho, pela ótica da alocação baseada em contribuições do risco, medida via volatilidade, aplicada a uma carteira de ações. O objetivo é a construção de portfolios, via as contribuições de riscos; para isto construímos fatores de riscos genéricos baseados na abordagem de Fama&French; na sequência aplicamos uma metodologia para distribuir a volatilidade como contribuições de risco destes fatores genéricos. Diferentemente de outros trabalhos, ao invés de alocar em índices que representem estes fatores de riscos genéricos, alocamos diretamente nos ativos na expectativa de conseguirmos reproduzir o efeito de investir nestes índices, o que traz uma complexidade adicional. Esta abordagem foi motivada por nem sempre termos acesso à investir nesses índices. Finalmente, a título de ilustração, a metodologia foi aplicada ao mercado brasileiro de ações, em particular utilizando os fatores do modelo Fama&French de 5 fatores. Obtivemos portfolios com as contribuições de riscos desejadas em relação aos fatores de Fama&French, mas ao se analisar a alocação dos pesos dos fatores de riscos sobre os portfolios obtidos, verificamos que são alocados pesos a fatores que não estão relacionados aos de Fama&French, apesar das contribuições de risco destas estarem neutralizadas. E por fim argumentamos que estas alocações evitam a captura das características distintas de cada fator que gostaríamos de reproduzir.

This thesis provides evidence of size and value premiums in returns in the Central and Eastern European (CEE) region, through its analysis of financial markets in 12 countries. Following the portfolio construction methodology of Fama and French (1996) we use a sample of 1245 stocks and record that small stocks outperform big stocks (size premium) and value stocks outperform growth stocks (value premium). In addition, we create nine portfolios to test the Fama and French three-factor model and show that the factor-mimicking portfolios that have been documented in the developed markets, SMB (small minus big) and HML (high minus low), also capture most of the cross-section variation in average stock returns in the CEE region. We demonstrate a similar pattern in terms of size return as documented in the U.S. market, but with small differences in the value returns found. Although the Gibbons-Ross-Shanken (GRS) test does not reject the null with 95%, we do not agree that the model completely explains the variation in average returns across the portfolios. The GRS rejects the null at 90% and implies that other factors are omitted from the model. Nevertheless, this thesis contributes to the literature applying asset pricing models to the CEE region, and should provide insights to investors active in the CEE...

Text in English / Research on employee turnover dates back many decades. However, this research traditionally focused on either understanding turnover intentions or the factors preceding turnover, such as job satisfaction. Despite the challenge in SA being huge and organisations struggling to keep their talent, the research on employee turnover is quite limited. Understanding the different variables that influence employee turnover and providing practical solutions on how to mitigate turnover would be valuable to many organisations. The aim of this research project was to understand the role of personality and organisational climate in employee turnover. In addition, a comprehensive model of employee turnover was developed and tested. The Five Factor Model was used to conceptualise personality, while (due to the limited nature of existing models) a new model was designed to conceptualise organisational climate. A sample of 1 536 people was drawn from a large retail organisation in SA, with 807 stayers and 729 leavers. Biographical, personality and organisational climate information was collected over a two-year period for both samples. Results of the study were mixed; there were no significant differences in the two samples regarding the big five personality factors, except when nine bipolar scales were used. On these scales, leavers were found to be more assertive, persuasive and optimistic than stayers. All five personality factors moderated HR policies & procedures in determining turnover. There were differences between the stayers and leavers samples with regard to age, gender, tenure and absenteeism. Organisational climate was a key determinant of whether people left or stayed and organisations had more than one climate. Personality, organisational climate and absenteeism accounted for 29% of turnover. The proposed model of employee turnover met most of the requirements of goof fit measures when using Structural Equation Modelling (SEM). / Psychology / D.Litt. et Phil.