scholarly journals HPC as a Service: A naïve model

Author(s):  
Hamza Ali Imran ◽  
Saad Wazir ◽  
Ahmed Jamal Ikram ◽  
Ataul Aziz Ikram ◽  
Hanif Ullah ◽  
...  
Keyword(s):  
Metamorphosis ◽  
2005 ◽  
Vol 4 (2) ◽  
pp. 113-124
Author(s):  
Madhusudan Karmakar

The existing literature contains conflicting evidence regarding the relative quality of stock market volatility forecasts. This paper employs daily Indian data to examine the relative ability of various models to forecast monthly stock market volatility. The forecasting models which were selected range from naive model to relatively complex GARCH model. While it is difficult to claim superiority of any one model under all measures used to assess the accuracy of the forecast, the overall results clearly identify two competing models i.e., the RWM and GARCH (1, 1).


2008 ◽  
Vol 3 (2) ◽  
pp. 165-195 ◽  
Author(s):  
UNTO HÄKKINEN ◽  
PEKKA MARTIKAINEN ◽  
ANJA NORO ◽  
ELINA NIHTILÄ ◽  
MIKKO PELTOLA

AbstractThis study revisits the debate on the ‘red herring’, i.e. the claim that population aging will not have a significant impact on health care expenditure (HCE), using a Finnish data set. We decompose HCE into several components and include both survivors and deceased individuals into the analyses. We also compare the predictions of health expenditure based on a model that takes into account the proximity to death with the predictions of a naïve model, which includes only age and gender and their interactions. We extend our analysis to include income as an explanatory variable. According to our results, total expenditure on health care and care of elderly people increases with age but the relationship is not as clear as is usually assumed when a naïve model is used in health expenditure projections. Among individuals not in long-term care, we found a clear positive relationship between expenditure and age only for health centre and psychiatric inpatient care. In somatic care and prescribed drugs, the expenditure clearly decreased with age among deceased individuals. Our results emphasize that even in the future, health care expenditure might be driven more by changes in the propensity to move into long-term care and medical technology than age and gender alone, as often claimed in public discussion. We do not find any strong positive associations between income and expenditure for most non-LTC categories of health care utilization. Income was positively related to expenditure on prescribed medicines, in which cost-sharing between the state and the individual is relatively high. Overall, our results indicate that the future expenditure is more likely to be determined by health policy actions than inevitable trends in the demographic composition of the population.


2012 ◽  
Vol 16 (8) ◽  
pp. 3049-3060 ◽  
Author(s):  
C. W. Dawson ◽  
N. J. Mount ◽  
R. J. Abrahart ◽  
A. Y. Shamseldin

Abstract. When analysing the performance of hydrological models in river forecasting, researchers use a number of diverse statistics. Although some statistics appear to be used more regularly in such analyses than others, there is a distinct lack of consistency in evaluation, making studies undertaken by different authors or performed at different locations difficult to compare in a meaningful manner. Moreover, even within individual reported case studies, substantial contradictions are found to occur between one measure of performance and another. In this paper we examine the ideal point error (IPE) metric – a recently introduced measure of model performance that integrates a number of recognised metrics in a logical way. Having a single, integrated measure of performance is appealing as it should permit more straightforward model inter-comparisons. However, this is reliant on a transferrable standardisation of the individual metrics that are combined to form the IPE. This paper examines one potential option for standardisation: the use of naive model benchmarking.


1976 ◽  
Vol 17 (1) ◽  
pp. 105-115 ◽  
Author(s):  
John Suckling ◽  
John W. Bennett ◽  
T. Scarlett Epstein ◽  
Dominique Legros ◽  
Karl J. Narr ◽  
...  
Keyword(s):  

2000 ◽  
Vol 45 (11) ◽  
pp. 1457-1461 ◽  
Author(s):  
K. D. Lyakhomskaya ◽  
P. I. Khadzhi

Author(s):  
Mohamed Ariff ◽  
Lina Suranto

This paper attempts to fill a void in the finance literature by reporting the reliability of theoretical valuation models against the market values of banking corporations. The dividend, operating cash flows and the free cash flow valuation approaches are operationalised to estimate fair values of banks. These values are then compared with market values. This results, using the Theil’s U-coefficient, show that the operating cash flow approach provides estimates that are better than the naïve model estimates. The other two approaches produced results no better than the naïve model. A probable reason for the poor performance of the free cash flow approach is suggested. Outsider’s estimation of investment values needed for free cash flow calculation is likely to introduce serious errors irrespective of the theoretical bases of models widely used in the industry.  


2019 ◽  
Author(s):  
Huafeng (Jason) Chen ◽  
Liang Jiang ◽  
Weiwei Liu

Author(s):  
Matthew Jeffalino ◽  
Yunilma Yunilma

Earnings represent information which very paid attention by users of financial statements. Some research was examined the ability of earnings to forecast future earnings which only focused to aggregate earnings. Some literature mention that reported earnings number contain permanent and transitory earnings component which can be used to forecast future earnings and future cash flow. Permanent earnings is earnings related to core activity of the firms which always happened each every period. while transitory earnings are earnings do not relate with core activity of the firms and is not expected to happened in next period. This research empirically examines the level of accuracy model with permanent, transitory, and aggregate earnings component to forecast future earnings of the firms. This research also use naive model as benchmark compared with permanent, transitory, and aggregate earnings to forecast future earnings. By using 60 observations by time-series from 2000-2006. the result of research indicate that model with permanent earnings component more accurate compared model with transitory, aggregate earnings component, and naive model to forecast future earnings. This research also use exponential smoothing model as benchmark in sensitivity analysis. The result demonstrate that model with permanent earnings component more accurate compared model with transitory, aggregate earnings component, naive model, and exponential smoothing model to forecast future earnings.


2011 ◽  
Vol 1 (2) ◽  
pp. 18-34
Author(s):  
Tridib Bandyopadhyay

In this work, the author develops and explains a set of economic models under the decision theoretic framework to conceptualize the requisite levels of investment in the defense against cyber terrorism. This paper begins with a naïve model of cyber defense, on which the author progressively implements aspects of layered defense and domain conditionality to investigate practicable investment levels for countering cyber terrorism related risks. The proposed model characterizes the minimum budget below which a defending nation cannot feasibly contemplate to deploy more than one layer of defense against cyber terrorism. Beyond budgetary considerations, the paper also calculates the relative technological capabilities that the defending nation must possess to deploy a detection regime behind the first layer of protection regime. Finally, the author calculates and presents the optimal bifurcation of budget between the prevention and detection regimes should the defending nation possesses adequate funds to deploy layered defense in cyber terrorism.


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