This thesis presents two research projects examining the relationship between top management turnover (i.e. investment directors of funds management firms) and the performance of actively managed Australian institutional funds. Khorana (1996, 2001) studies this relationship from purely a performance perspective using U.S. managed funds. This thesis extends the work of Khorana (1996, 2001) by providing investors and other stakeholders with empirical evidence on performance, sources of performance and the dynamics of portfolios in the pre-and-post replacement periods. This issue is significant given the importance of executive management in the implementation of the institution's investment strategy, the sizeable assets under their control, as well as the overall success and profitability of the funds management operation. In addition, investors, asset consultants, managed fund ratings agencies and the financial media devote significant resources in scrutinizing the performance, organizational activities, leadership and human capital of investment management firms. Accordingly, the first research project examines the impact of performance and fund flow activity on top management turnover in both the pre-and-post replacement periods. The research documents that turnover of underperforming investment managers results in significantly higher performance in the post-replacement period, while turnover coinciding with outperforming managers delivers investors significantly lower returns (risk-adjusted). The evidence also identifies significant changes in portfolio risk associated with managerial turnover. Finally, the study finds that underperforming investment managers exhibit significantly lower fund flows prior to replacement. The second research project represents the first rigorous analysis of top management turnover with respect to monthly portfolio holdings for a sample of actively managed Australian equity funds. An examination of the dynamics of portfolios surrounding both the departure and the arrival dates of investment managers provides a finer decomposition in understanding investment performance, the sources of value added and the extent to which momentum strategies are executed both pre-and-post the turnover event. Accordingly, the study examines a manager's success or failure depending on 'winner' and 'loser' stock holdings, portfolio turnover, reliance on momentum strategies, variation in portfolio risk, stock preferences and fund flows for underperforming versus outperforming investment directors in the pre-and-post replacement periods. The research also documents that new investment managers of previously underperforming portfolios exhibit superior stock-selections skills in the post-replacement period, therefore reversing the portfolio's previously poor performance. The study finds that new investment managers liquidate 'loser' stocks (i.e. cleaning out the portfolio) as well as decreasing the portfolio's concentration (i.e. increases the portfolio's diversification and lowering tracking error). The results also indicate that underperforming investment managers in the pre-replacement period exhibit a preference for larger stocks (i.e. more liquid stocks with greater relative benchmark weights in the index), growth-oriented securities and a preference towards riding past period winners (i.e. following momentum strategies), however they are unable to successfully select and exploit momentum stocks. On the other hand, incoming managers of underperforming portfolios in the pre-replacement period do not show any particular stock size preference. The study also shows these managers prefer growth stocks, do not rely on momentum strategies, and yet still display superior returns in the post-replacement period. The study also documents that new investment managers of previously outperforming portfolios are unable to replicate the performance of the previous head of equities. In terms of stock preferences related to superior performing portfolios, the results show that departing investment managers prefer larger stocks and select stocks based on momentum strategies. On the other hand, incoming investment managers have a greater preference for smaller stocks, are less reliant on momentum strategies and prefer more volatile securities, however, these strategies do not provide superior returns relative to the pre-replacement period.

No description available.

Moral Hazard and the Agency Costs thereof have long been accepted arguments in venture finance theory and have therefore long been accepted shortcomings in the venture capitalist / entrepreneur relationship. In psychological experiments ??? including economic ??? it has been shown that human beings prefer to act in a reciprocal manner that reduces any inequity in a relationship. Humans who expect to receive an unfair and inequitable position in a relationship, will take steps to rectify that position. Specifically, if a venture capitalist expects the entrepreneur to unfairly extract private benefits from the investee company post investment by the venture capitalist, then he or she will impose costly controls and monitoring mechanisms in place to prevent that. All relationships that impose controls and monitoring mechanisms are inefficient, as opposed to Advising the investee which draws upon the skills of the venture capitalist and is generally efficient. The venture capital industry is comprised of intelligent and professional people who can recognise inefficiency easily. Indeed, this is how they make poorly managed companies into profitable trade sales or IPO???s. The online survey completed for this thesis poses questions that attempt to show that venture capitalists and entrepreneurs are not locked in an antagonistic relationship where each merely acts in a self interested way. This thesis concludes that venture capitalists and entrepreneurs do work in a reciprocal relationship recognising the substantial efficiency gains to be made by doing so.

Moral Hazard and the Agency Costs thereof have long been accepted arguments in venture finance theory and have therefore long been accepted shortcomings in the venture capitalist / entrepreneur relationship. In psychological experiments ??? including economic ??? it has been shown that human beings prefer to act in a reciprocal manner that reduces any inequity in a relationship. Humans who expect to receive an unfair and inequitable position in a relationship, will take steps to rectify that position. Specifically, if a venture capitalist expects the entrepreneur to unfairly extract private benefits from the investee company post investment by the venture capitalist, then he or she will impose costly controls and monitoring mechanisms in place to prevent that. All relationships that impose controls and monitoring mechanisms are inefficient, as opposed to Advising the investee which draws upon the skills of the venture capitalist and is generally efficient. The venture capital industry is comprised of intelligent and professional people who can recognise inefficiency easily. Indeed, this is how they make poorly managed companies into profitable trade sales or IPO???s. The online survey completed for this thesis poses questions that attempt to show that venture capitalists and entrepreneurs are not locked in an antagonistic relationship where each merely acts in a self interested way. This thesis concludes that venture capitalists and entrepreneurs do work in a reciprocal relationship recognising the substantial efficiency gains to be made by doing so.

Includes bibliographical references (leaves 134-137)

[Truncated abstract] This thesis investigates the influence the interpersonal relationship between the venture capitalist and the entrepreneur has upon the performance of the venture capitalist's investment. Its aim was to explore how venture capitalists add value (as opposed to what they do) to their investments in order to arrive at a fuller explanation of investment performance than that offered by agency theory – the current paradigm for the value adding relationship. The qualitative study that underpins this thesis found that in Australia, the quality of the interpersonal relationship between the venture capitalist and the entrepreneur during the value adding phase of the venture capital investment cycle positively predicts the performance of the venture capitalist's investment. The study was prompted by the researcher's personal experiences (as both a venture capitalist and as an entrepreneur in Australia) which suggested that the interpersonal relationship may influence the effectiveness of the venture capitalist's attempts to add value. Whilst the prior research had explored in depth the provision of value adding services (e.g. strategic advice, recruitment of key personnel, board participation), less progress appears to have been made in understanding the role of the interpersonal processes. Although several studies have attempted to fit an established social exchange theory to the value adding process, a published explanation of investment performance (process outcome) that includes interpersonal processes has not been identified. ... The exercise of power was found to be a negative predictor of investment performance. Power was typically exercised as the last resort measure in a failed interpersonal relationship and either precipitated or consolidated inferior investment performance. The failure of the venture capitalists to exercise their formal power in time to arrest underperformance was often due to their fear of the 'hold up' power of (threat of abandonment by) the entrepreneur. Agency theory's contribution to the explanation of investment performance was limited to (adverse) selection, at which point the combined competence of the dyad was determined. In addition to the new explanatory theory, some other insights into value adding were provided, including the key role of mutuality and the lack of explanatory power of the contract, information asymmetry, or goal alignment. The thesis offers contributions to knowledge and practice. Its contributions to knowledge include: the generation of new theory about value adding and investment performance in venture capital deals and some new theoretical concepts, the application of a methodological approach that is new to the area of interest, and a new insight into the Australian venture capital sector. It outlines the implications of the study findings for venture capitalists, entrepreneurs and policy makers, providing some fresh ideas for their consideration. It particularly highlights the need for cultural change in value adding relationships and the influence of heritage on the likelihood of the venture capitalist being successful.

In this study, we address two research questions: 1) Can we identify bear market episodes in Australia in the past 20 years? 2) How do investors’ moods change as stock market conditions enter into a bear phase. To address the first question, we use a pattern recognition algorithm, called the penalised LSE approach. By defining bear markets as those stock market regimes where the average returns are statistically significantly negative or below the risk free rate, we are able to detect two bear market periods in Australia in the past 20 years. These are the November 1987 to February 1988 and the April 2000 to May 2000 periods. To address the second question, we study the change in investors’ attitudes to varieties of systematic risk and the aggregate number and dollar value of shares traded in portfolios as a result of the regime switch from pre-bear to bear period. Out of the 7 categories of risk considered in this study, the transition from pre-bear to bear regime in both sample periods had a significant impact mainly on investors’ attitude toward the size risk factor. Investors systematically became more sensitive to firm size as stock market conditions entered into the 1987⁄1988 bear market. In the later sample period, investors’ reaction to firm size was more selective as it depended on the characteristics of the stocks that made up their portfolios. We also find that the regime switches resulted in lower portfolio trading volumes. Based on these results we infer that the November 1987-February 1988 bear market evoked a general sad mood, while the April 2000-May 2000 bear market stirred up both angry and sad feelings in market participants depending on the composition of stocks in their portfolios.

[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.