No description available.

No description available.

No description available.

Developing timely and reliable house price indices is of interest worldwide, because these measures influence consumer behaviour, inflation targeting, and spot and futures markets. Several techniques for constructing a constant quality price index are available in the literature, but these methods are difficult to apply in localities where market transaction data is limited. Since house price movements are a local phenomena, improving the timeliness of a quality controlled price index at local housing market levels in small countries like New Zealand is a challenge. This thesis comprises three essays that focused on improving the timeliness of reported house price indices at the local market levels. The timeliness issue examined in this thesis has not previously been rigorously investigated and this makes the results of this thesis both important and unique for the benefit of both academic research and practical application. Essay One reviews the sale price appraisal ratio (SPAR) method, which has been applied since the 1960s for producing local house price indices at a semi-annual and quarterly basis in New Zealand. Utilizing a variety of statistical tests and comparing this index with the repeat sales and median price index result in the study highlighting the potential of, as well as the problems associated with, a price index produced by the SPAR method at a monthly level. In the following two essays, monthly price indices are tested using empirical real estate research methods in order to examine their usefulness in exploring the research questions as well as revealing the statistical differences between them. Essay Two studies the relationship between sale price and trading volume, and the ripple effect of local house price comovements. The results show that the trading volume generally leads the sale price in the long-run and the ripple effect is most likely constrained within regions. In Essay Two, the monthly SPAR index produces similar statistical results to those estimated by the repeat sales index for large cities. Essay Three is a study on the market efficiency of housing markets. It is found the local housing market is neither weak-form nor semi-strong form efficient. Local house price movements are strongly correlated and are mean reverting towards their long-run equilibrium. It is further concluded that monthly price indices for small cities are problematic due to the problem of small sample size. Overall, the findings in this thesis show monthly house price indices can be generated by using the SPAR method at local market levels. However, this potential is limited to large cities. Further research can focus on improving the quality of monthly price indices for large cities.

This thesis investigates abnormal trading volume around scheduled and unscheduled announcements. The research is an extension of Chae (2005), Journal of Finance, Vol 60, which tests corporate announcements in the US stock market. In this thesis, Australian stocks are used to establish whether market characteristics affect trading behaviour around announcements. In addition, I extend the traditional methodology to overcome possible shortcomings in the previous studies. This thesis also discusses how information asymmetry affects the abnormal trading volume on the announcement day. In contrast to earlier studies, I nd abnormal trading volume does not change before either scheduled or unscheduled announcements, but, as expected, increases on and after the scheduled and unscheduled announcements. Information asymmetry increases trading volumes when unscheduled announcements are made, but has no effect for scheduled announcements. I show that the failure to adjust for the correlation between corporate events, results in abnormal trading volumes being detected prior to announcements. Differences between the Australian and US results can not all be explained by methodological differences. It appears that the underlying dynamics of the Australian market are different; casting doubts on the ability to generalize market characteristics from US based studies on abnormal trading volumes.

Whole document restricted, see Access Instructions file below for details of how to access the print copy. Subscription resource available via Digital Dissertations / My research question is: Why do countries with similar rates of saving differ in economic growth? My thesis addresses this question by formulating an endogenous growth model using the Cobb-Douglas production function. My model disaggregates the rate of saving into the retention ratio and the household saving ratio and connects these ratios with three new parameters representing respectively the efficiency of financial institutions, the decision-making of managers, and barriers to technology diffusion. These three financial parameters make it possible to distinguish between quantitative and qualitative investments and to measure the growth rates of output, capital, and technological progress. Endogenous growth in technology neutralizes diminishing returns to capital. The Cobb-Douglas production function assumes diminishing marginal productivity under constant returns to scale. My model, however, measures the growth rate of per capita output under the balanced growth state/constant returns to capital situation. This situation is guaranteed when the relative share of profit is within the critical relative share of profit. A set of combination of the three financial parameters holds under diminishing returns to capital, yet the diminishing returns to capital situation turns to the balanced growth state situation by using delta defined as the elasticity of quality improvement with respect to effective labour units attached to a machine. An extreme case corresponds with the Solow and O'Connell (including Harrod-Domar) models, where the three financial parameters are all 1.0, with no technological progress. Simulation results demonstrate several new fact-findings. These fact-findings come from the characteristics of my model or the relationships between the growth rate of “per capita” output in the long-run (hereunder the growth rate) and the three financial parameters and delta, where the growth rate converges by setting delta = the relative share of profit. First, if the rate of saving increases, the growth rate also increases linearly. This is more definitely evident than the result of Mankiw, Romer, and Weil [1992]. Second, under a fixed rate of saving, the growth rate changes significantly differently if each of three parameters changes: the relative share of profit, the growth rate of population, and the retention ratio. In particular, the change in the retention ratio influences the growth rate positively or negatively depending on the relationship between the three financial parameters that reflect corporate behaviour and the nature of financial institutions. In this respect, I cannot find literature that relates the retention ratio or dividend policy to the growth rate in the Cobb-Douglas production function. Also the change in the growth rate of population does not influence per capita growth at all. This finding is also more definite than that found in the literature. In short, the three financial parameters play an important role in economic growth. When we divide saving into corporate saving and household saving, the rate of saving as a whole is not independent of the growth rate. A proportion of corporate saving and a proportion of household saving are used for investment in quality, which accelerates productivity enhancement. Consequently, the characteristics of the corporate sectors and financial institutions of a country play a significant role in determining its long run growth rate of per capita income (even under a fixed rate of saving).

Whole document restricted, see Access Instructions file below for details of how to access the print copy. Subscription resource available via Digital Dissertations / My research question is: Why do countries with similar rates of saving differ in economic growth? My thesis addresses this question by formulating an endogenous growth model using the Cobb-Douglas production function. My model disaggregates the rate of saving into the retention ratio and the household saving ratio and connects these ratios with three new parameters representing respectively the efficiency of financial institutions, the decision-making of managers, and barriers to technology diffusion. These three financial parameters make it possible to distinguish between quantitative and qualitative investments and to measure the growth rates of output, capital, and technological progress. Endogenous growth in technology neutralizes diminishing returns to capital. The Cobb-Douglas production function assumes diminishing marginal productivity under constant returns to scale. My model, however, measures the growth rate of per capita output under the balanced growth state/constant returns to capital situation. This situation is guaranteed when the relative share of profit is within the critical relative share of profit. A set of combination of the three financial parameters holds under diminishing returns to capital, yet the diminishing returns to capital situation turns to the balanced growth state situation by using delta defined as the elasticity of quality improvement with respect to effective labour units attached to a machine. An extreme case corresponds with the Solow and O'Connell (including Harrod-Domar) models, where the three financial parameters are all 1.0, with no technological progress. Simulation results demonstrate several new fact-findings. These fact-findings come from the characteristics of my model or the relationships between the growth rate of “per capita” output in the long-run (hereunder the growth rate) and the three financial parameters and delta, where the growth rate converges by setting delta = the relative share of profit. First, if the rate of saving increases, the growth rate also increases linearly. This is more definitely evident than the result of Mankiw, Romer, and Weil [1992]. Second, under a fixed rate of saving, the growth rate changes significantly differently if each of three parameters changes: the relative share of profit, the growth rate of population, and the retention ratio. In particular, the change in the retention ratio influences the growth rate positively or negatively depending on the relationship between the three financial parameters that reflect corporate behaviour and the nature of financial institutions. In this respect, I cannot find literature that relates the retention ratio or dividend policy to the growth rate in the Cobb-Douglas production function. Also the change in the growth rate of population does not influence per capita growth at all. This finding is also more definite than that found in the literature. In short, the three financial parameters play an important role in economic growth. When we divide saving into corporate saving and household saving, the rate of saving as a whole is not independent of the growth rate. A proportion of corporate saving and a proportion of household saving are used for investment in quality, which accelerates productivity enhancement. Consequently, the characteristics of the corporate sectors and financial institutions of a country play a significant role in determining its long run growth rate of per capita income (even under a fixed rate of saving).

Whole document restricted, see Access Instructions file below for details of how to access the print copy. Subscription resource available via Digital Dissertations / My research question is: Why do countries with similar rates of saving differ in economic growth? My thesis addresses this question by formulating an endogenous growth model using the Cobb-Douglas production function. My model disaggregates the rate of saving into the retention ratio and the household saving ratio and connects these ratios with three new parameters representing respectively the efficiency of financial institutions, the decision-making of managers, and barriers to technology diffusion. These three financial parameters make it possible to distinguish between quantitative and qualitative investments and to measure the growth rates of output, capital, and technological progress. Endogenous growth in technology neutralizes diminishing returns to capital. The Cobb-Douglas production function assumes diminishing marginal productivity under constant returns to scale. My model, however, measures the growth rate of per capita output under the balanced growth state/constant returns to capital situation. This situation is guaranteed when the relative share of profit is within the critical relative share of profit. A set of combination of the three financial parameters holds under diminishing returns to capital, yet the diminishing returns to capital situation turns to the balanced growth state situation by using delta defined as the elasticity of quality improvement with respect to effective labour units attached to a machine. An extreme case corresponds with the Solow and O'Connell (including Harrod-Domar) models, where the three financial parameters are all 1.0, with no technological progress. Simulation results demonstrate several new fact-findings. These fact-findings come from the characteristics of my model or the relationships between the growth rate of “per capita” output in the long-run (hereunder the growth rate) and the three financial parameters and delta, where the growth rate converges by setting delta = the relative share of profit. First, if the rate of saving increases, the growth rate also increases linearly. This is more definitely evident than the result of Mankiw, Romer, and Weil [1992]. Second, under a fixed rate of saving, the growth rate changes significantly differently if each of three parameters changes: the relative share of profit, the growth rate of population, and the retention ratio. In particular, the change in the retention ratio influences the growth rate positively or negatively depending on the relationship between the three financial parameters that reflect corporate behaviour and the nature of financial institutions. In this respect, I cannot find literature that relates the retention ratio or dividend policy to the growth rate in the Cobb-Douglas production function. Also the change in the growth rate of population does not influence per capita growth at all. This finding is also more definite than that found in the literature. In short, the three financial parameters play an important role in economic growth. When we divide saving into corporate saving and household saving, the rate of saving as a whole is not independent of the growth rate. A proportion of corporate saving and a proportion of household saving are used for investment in quality, which accelerates productivity enhancement. Consequently, the characteristics of the corporate sectors and financial institutions of a country play a significant role in determining its long run growth rate of per capita income (even under a fixed rate of saving).

Whole document restricted, see Access Instructions file below for details of how to access the print copy. Subscription resource available via Digital Dissertations / My research question is: Why do countries with similar rates of saving differ in economic growth? My thesis addresses this question by formulating an endogenous growth model using the Cobb-Douglas production function. My model disaggregates the rate of saving into the retention ratio and the household saving ratio and connects these ratios with three new parameters representing respectively the efficiency of financial institutions, the decision-making of managers, and barriers to technology diffusion. These three financial parameters make it possible to distinguish between quantitative and qualitative investments and to measure the growth rates of output, capital, and technological progress. Endogenous growth in technology neutralizes diminishing returns to capital. The Cobb-Douglas production function assumes diminishing marginal productivity under constant returns to scale. My model, however, measures the growth rate of per capita output under the balanced growth state/constant returns to capital situation. This situation is guaranteed when the relative share of profit is within the critical relative share of profit. A set of combination of the three financial parameters holds under diminishing returns to capital, yet the diminishing returns to capital situation turns to the balanced growth state situation by using delta defined as the elasticity of quality improvement with respect to effective labour units attached to a machine. An extreme case corresponds with the Solow and O'Connell (including Harrod-Domar) models, where the three financial parameters are all 1.0, with no technological progress. Simulation results demonstrate several new fact-findings. These fact-findings come from the characteristics of my model or the relationships between the growth rate of “per capita” output in the long-run (hereunder the growth rate) and the three financial parameters and delta, where the growth rate converges by setting delta = the relative share of profit. First, if the rate of saving increases, the growth rate also increases linearly. This is more definitely evident than the result of Mankiw, Romer, and Weil [1992]. Second, under a fixed rate of saving, the growth rate changes significantly differently if each of three parameters changes: the relative share of profit, the growth rate of population, and the retention ratio. In particular, the change in the retention ratio influences the growth rate positively or negatively depending on the relationship between the three financial parameters that reflect corporate behaviour and the nature of financial institutions. In this respect, I cannot find literature that relates the retention ratio or dividend policy to the growth rate in the Cobb-Douglas production function. Also the change in the growth rate of population does not influence per capita growth at all. This finding is also more definite than that found in the literature. In short, the three financial parameters play an important role in economic growth. When we divide saving into corporate saving and household saving, the rate of saving as a whole is not independent of the growth rate. A proportion of corporate saving and a proportion of household saving are used for investment in quality, which accelerates productivity enhancement. Consequently, the characteristics of the corporate sectors and financial institutions of a country play a significant role in determining its long run growth rate of per capita income (even under a fixed rate of saving).

There are two competing theoretical debates about the impact of ownership concentration on organisational outcomes, namely efficient-monitoring hypothesis and conflict-of-interest (strategic-alignment) hypothesis. New Zealand has a distinctively concentrated ownership structure. This raises an important research question: Does concentrated ownership in New Zealand perform an efficient monitoring or opportunistic function? This question remains unanswered due to the very limited research on ownership structure in New Zealand. This research considers three specific where studying the function of ownership concentration is likely to be insightful. Three contexts are: CEO compensation scheme, corporate voluntary disclosures and investor perception of ownership structure in the stock market. This research further contributes to the existing literature by decomposing ownership into four mutually exclusive groups, namely financial institution-, government-, management- and other company-controlled ownership structures. The different impacts of ownership concentration under each type of controlling ownership structure are investigated. The findings of Essay One reveal that concentrated ownership is a significant contributor to the poor CEO compensation pay-for-performance relationship in New Zealand listed companies. However, reduced ownership concentration promotes the alignment between CEO compensation and firm performance. These results imply that large shareholders in New Zealand do not play a monitoring role in curbing managerial power; rather it exacerbates the poor relationship between CEO compensation and firm performance. In Essay Two, regression results show that companies characterised by financial institution-controlled ownership structure tend to make significantly fewer (more) disclosures at high (low) concentration levels. In contrast, firm observations in the high concentration group with government- and management-controlled ownership structures have considerably higher voluntary disclosure scores compared with their low concentration counterparts. With respect to the linearity assumption, the relationship between ownership concentration and voluntary disclosure practices unveil a non-linear pattern, indicating that the efficiency of large shareholders’ monitoring varies with the level of intensity of ownership concentration. The results of Essay Three demonstrate that ownership concentration in general is positively associated with information asymmetry observed around annual report release date. This is supportive of investor-adverse selection towards ownership concentration, and such an adverse selection problem is strongly associated with financial institutional and managerial shareholdings. Also, ownership concentration decreases stock liquidity, so no result is found in line with the ownership concentration liquidity hypothesis. When voluntary disclosure is taken into account, regression results suggest that disclosure significantly attenuates information asymmetry risk related to ownership concentration. This effect is particularly pronounced for firms with management-controlled ownership structure. Findings highlight the importance of corporate disclosures under concentrated ownership structure in eliminating information asymmetry and enhancing market efficiency in New Zealand.