The Experts below are selected from a list of 183 Experts worldwide ranked by ideXlab platform
Roman Frydman - One of the best experts on this subject based on the ideXlab platform.
-
Cost Inefficiency, Size of Firms and Takeovers
Review of Quantitative Finance and Accounting, 2001Co-Authors: Susanne Trimbath, Halina Frydman, Roman FrydmanAbstract:This study, using the Cox proportional hazards model, finds that the risk of takeover rises with cost inefficiency. It also finds that a firm faces a significantly higher risk of takeover if its cost performance lags behind its Industry Benchmark. Moreover, these findings appear to be remarkably stable over the nearly two decades spanned by the sample. The effect of the variables used to measure the risk-size relationship, however, indicates temporal changes. Lastly, the study presents evidence from fixed-effects models of ex post cost efficiency improvements that support the hypothesis that takeover targets are selected based on the potential for improvement.
-
Corporate Inefficiency and the Risk of Takeover
2000Co-Authors: Susanne Trimbath, Halina Frydman, Roman FrydmanAbstract:The present study, using the Cox proportional hazard model, suggests a firm faces a significantly higher risk of takeover if its cost performance lags behind its Industry Benchmark. The effects of variables capturing cost inefficiency on the risk of takeover appear to be remarkably stable over the nearly two decades spanned by the sample, while the effect of the variables measuring the risk-size relationship indicate temporal changes. Once cost inefficiency is accounted for, the paper fails to find consistent evidence for the effects of other conventionally used performance measures, such as profitability and q, on the risk of takeover.
Susanne Trimbath - One of the best experts on this subject based on the ideXlab platform.
-
Cost Inefficiency, Size of Firms and Takeovers
Review of Quantitative Finance and Accounting, 2001Co-Authors: Susanne Trimbath, Halina Frydman, Roman FrydmanAbstract:This study, using the Cox proportional hazards model, finds that the risk of takeover rises with cost inefficiency. It also finds that a firm faces a significantly higher risk of takeover if its cost performance lags behind its Industry Benchmark. Moreover, these findings appear to be remarkably stable over the nearly two decades spanned by the sample. The effect of the variables used to measure the risk-size relationship, however, indicates temporal changes. Lastly, the study presents evidence from fixed-effects models of ex post cost efficiency improvements that support the hypothesis that takeover targets are selected based on the potential for improvement.
-
Corporate Inefficiency and the Risk of Takeover
2000Co-Authors: Susanne Trimbath, Halina Frydman, Roman FrydmanAbstract:The present study, using the Cox proportional hazard model, suggests a firm faces a significantly higher risk of takeover if its cost performance lags behind its Industry Benchmark. The effects of variables capturing cost inefficiency on the risk of takeover appear to be remarkably stable over the nearly two decades spanned by the sample, while the effect of the variables measuring the risk-size relationship indicate temporal changes. Once cost inefficiency is accounted for, the paper fails to find consistent evidence for the effects of other conventionally used performance measures, such as profitability and q, on the risk of takeover.
B. Watt - One of the best experts on this subject based on the ideXlab platform.
-
High Merino weaner survival rates are a function of weaning weight and positive post-weaning growth rates
Animal Production Science, 2010Co-Authors: S. Hatcher, J. Eppleston, K. J. Thornberry, B. WattAbstract:Survival and subsequent productivity of Merino ewe weaners (weaned in 2006 and 2007, respectively) on commercial properties in the New South Wales Central Tablelands were monitored through routine liveweight measurement until weaning of their own progeny from their maiden joining. Growth rates were calculated from the regular liveweight measurements with survival determined by the continuing presence of an individual animal at subsequent measurements. This study demonstrates that high weaner survival rates are a function of both weaning weight and post-weaning growth rates. Importantly, it indicates that low post-weaning growth rates can negate the survival benefit conferred by a high weaning weight such that weaners who were unable to sustain positive post-weaning growth rates were at high risk of death. Furthermore, classification of weaners into liveweight profile groups based on their weaning weight and post-weaning growth rates identified another group of weaners that are also at high risk of death. These weaners (14% of the mob) had above average weaning weights but low post-weaning growth rates and a mortality rate nearly 1.5 times that of the lightest cohort of weaners. High weaner survival rates about the 95% Industry Benchmark are possible if weaners show positive growth rates post weaning. Weaning weight continues to have a residual influence on the subsequent productivity of ewe weaners until they wean their first lambs. Maiden ewes that were heavier at weaning tend to have higher scanning percentages and are more likely to successfully rear their progeny to marking than their lighter weight counterparts. This finding should be taken into account when economic analyses of the benefits of alternative management strategies to promote weaner survival are undertaken.
Queensland - One of the best experts on this subject based on the ideXlab platform.
-
Macadamia Industry Benchmark report - 2009 to 2019 seasons
2020Co-Authors: QueenslandAbstract:This report has been produced as part of the “Benchmarking the macadamia Industry 2019–2021” project (MC18002). This is a joint initiative of the Department of Agriculture and Fisheries, the University of Southern Queensland and the New South Wales Department of Primary Industries, with support from the Australian Macadamia Society.The project has been funded by Hort Innovation, using the macadamia research and development levy and contributions from the Australian Government. Hort Innovation is the grower-owned, not-for-profit research and development corporation for Australian horticulture. The Queensland Government has also co-funded the project through the Department of Agriculture and Fisheries.
-
Macadamia Industry Benchmark report - 2009 to 2016 seasons
2017Co-Authors: QueenslandAbstract:This report has been produced as part of the “Benchmarking the macadamia Industry 2015–2018” project (MC15005). This is a joint initiative of the Department of Agriculture and Fisheries, the University of Southern Queensland and NSW Department of Primary Industries, with support from the Australian Macadamia Society. The project has been funded by Hort Innovation, using the macadamia research and development levy and contributions from the Australian Government. Hort Innovation is the grower-owned, not-for-profit research and development corporation for Australian horticulture. The Queensland Government has also co-funded the project through the Department of Agriculture and Fisheries.
Helmut Krcmar - One of the best experts on this subject based on the ideXlab platform.
-
comparing the accuracy of resource demand measurement and estimation techniques
Computer Performance Engineering - Proceedings of the 12th European Workshop (EPEW 2015), 2015Co-Authors: Felix Willnecker, Simon Spinner, Samuel Kounev, Markus Dlugi, Andreas Brunnert, Wolfgang Gottesheim, Helmut KrcmarAbstract:Resource demands are a core aspect of performance models. They describe how an operation utilizes a resource and therefore influence the systems performance metrics: response time, resource utilization and throughput. Such demands can be determined by two extraction classes: direct measurement or demand estimation. Selecting the best suited technique depends on available tools, acceptable measurement overhead and the level of granularity necessary for the performance model. This work compares two direct measurement techniques and an adaptive estimation technique based on multiple statistical approaches to evaluate strengths and weaknesses of each technique. We conduct a series of experiments using the SPECjEnterprise2010 Industry Benchmark and an automatic performance model generator for architecture-level performance models based on the Palladio Component Model. To compare the techniques we conduct two experiments with different levels of granularity on a standalone system, followed by one experiment using a distributed SPECjEnterprise2010 deployment combining both extraction classes for generating a full-stack performance model.
-
EPEW - Comparing the Accuracy of Resource Demand Measurement and Estimation Techniques
Computer Performance Engineering, 2015Co-Authors: Felix Willnecker, Simon Spinner, Samuel Kounev, Markus Dlugi, Andreas Brunnert, Wolfgang Gottesheim, Helmut KrcmarAbstract:Resource demands are a core aspect of performance models. They describe how an operation utilizes a resource and therefore influence the systems performance metrics: response time, resource utilization and throughput. Such demands can be determined by two extraction classes: direct measurement or demand estimation. Selecting the best suited technique depends on available tools, acceptable measurement overhead and the level of granularity necessary for the performance model. This work compares two direct measurement techniques and an adaptive estimation technique based on multiple statistical approaches to evaluate strengths and weaknesses of each technique. We conduct a series of experiments using the SPECjEnterprise2010 Industry Benchmark and an automatic performance model generator for architecture-level performance models based on the Palladio Component Model. To compare the techniques we conduct two experiments with different levels of granularity on a standalone system, followed by one experiment using a distributed SPECjEnterprise2010 deployment combining both extraction classes for generating a full-stack performance model.