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Mohamed Badawy, Fahad K. Alqahtani and Mohamed Sherif
The ability to foresee hazards early plays a critical role in estimating the entire cost of a project. Although several studies have established models to predict the total cost of a project at a conceptual stage, there remains a research vacuum in measu...
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Riaman, Sukono, Sudradjat Supian and Noriszura Ismail
This paper discusses the relationship between weather and rice productivity modeled using the Cobb?Douglas production function principle, with the hypothesis that rice production will increase in line with the increase in average rainfall, wind speed, an...
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Dohoon Kim
Most recent cyberattacks have employed new and diverse malware. Various static and dynamic analysis methods are being introduced to detect and defend against these attacks. The malware that is detected by these methods includes advanced present threat (A...
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Aniq A Rohmawati,Fhira Nhita
A substantial issue in modern risk management is the measurement of risks. Specify, the requirement to quantify risk discovers in many different contexts. For instance, a regulator measures the risk exposure of a government institution in order determini...
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Catherine Champagne, Yinsuo Zhang, Patrick Cherneski and Trevor Hadwen
Satellite soil moisture is a critical variable for identifying susceptibility to hydroclimatic risks such as drought, dryness, and excess moisture. Satellite soil moisture data from the Soil Moisture Active/Passive (SMAP) mission was used to evaluate the...
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Catherine Champagne, Yinsuo Zhang, Patrick Cherneski and Trevor Hadwen
Satellite soil moisture is a critical variable for identifying susceptibility to hydroclimatic risks such as drought, dryness, and excess moisture. Satellite soil moisture data from the Soil Moisture Active/Passive (SMAP) mission was used to evaluate the...
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Shengkun Xie and Anna T. Lawniczak
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Shengkun Xie and Anna T. Lawniczak
Predictive modeling is a key technique in auto insurance rate-making and the decision-making involved in the review of rate filings. Unlike an approach based on hypothesis testing, the results from predictive modeling not only serve as statistical eviden...
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Hsiao-Ping Wei, Keh-Chia Yeh, Jun-Jih Liou, Yung-Ming Chen, Chao-Tzuen Cheng
Pág. 1 - 15
This study evaluated the overflow risk of the Tsengwen River under a climate change scenario by using bias-corrected dynamic downscaled data as inputs for a SOBEK model (Deltares, the Netherlands). The results showed that the simulated river flow rate at...
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Hsiao-Ping Wei, Keh-Chia Yeh, Jun-Jih Liou, Yung-Ming Chen and Chao-Tzuen Cheng
This study evaluated the overflow risk of the Tsengwen River under a climate change scenario by using bias-corrected dynamic downscaled data as inputs for a SOBEK model (Deltares, the Netherlands). The results showed that the simulated river flow rate at...
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T. F. Mykhailova,O. V. Piskunova
Pág. 113 - 117
An econometric model for forecasting volumes of tax returns and estimating risk of not being completed plan indices have been proposed.
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Ney Roberto Ottoni de Brito,Alexandre Bona,Affonso Tarciro, Jr.
Pág. pp. 119 - 136
Active funds are typically managed by placing bets against a well defined passive bench-mark. In this context, when examining the launching of a new actively managed fund with a target expected excess rate of return relative to the benchmark equal to µ, ...
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D. J. Bradfield,D. C. Bowie
AbstractIn this article a model is proposed for measuring the risk that shareholders bear during hostile merger activities. An empirical study on the failed Minorco-Consolidated Goldfields merger attempt reveals several insights on the additional risk bo...
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D. J. Bradfield,D. C. Bowie
AbstractIn this article a model is proposed for measuring the risk that shareholders bear during hostile merger activities. An empirical study on the failed Minorco-Consolidated Goldfields merger attempt reveals several insights on the additional risk bo...
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Rafael G. Ramos
Standardized crime rates (e.g., ?homicides per 100,000 people?) are commonly used in crime analysis as indicators of victimization risk but are prone to several issues that can lead to bias and error. In this study, a more robust approach (GWRisk) is pro...
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Jordan R. Fischbach, David R. Johnson and Kenneth Kuhn
Modern joint probability methods for estimating storm surge or flood statistics are based on statistical aggregation of many hydrodynamic simulations that can be computationally expensive. Flood risk assessments that consider changing future conditions d...
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Michail Karoglou, Konstantinos Mouratidis, Sofoklis Vogiazas
Pág. 55 - 74
We study the impact of credit risk determinants on the Romanian and Bulgarian banking systems using a structural Markov Regime-Switching vector autoregressive (MRS-SVAR) analysis. To capture changes in the domestic macroeconomic conditions as well as the...
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Arnis Stasko,Ilze Birzniece,Girts Kebers
Pág. 45 - 59
This article addresses the financial performance prediction for Latvian companies. It is of critical importance to be able to provide timely warnings to management, investors, employees, stakeholders and other interested parties who wish to reduce their ...
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Ana Carla dos Santos Gomes,Maria Helena Constantino Spyrides,Paulo Sérgio Lucio,Idemauro Antonio Rodrigues de Lara
The objective of this work was to verify the association between air pollutants and deaths of elderly people from acute myocardial infarction in the city of São Paulo by relative risk modelling. Taking into account the specific characteristics of the dat...
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José Carlos Trejo García,Humberto Ríos Bolívar,Francisco Almagro Vázquez
Pág. 17 - 30
In order to improve the management of revolving credit risk when estimating provisions in Mexico ?specifically in the case of portfolios administered by credit institutions (banks)? this research employs an alternative logit model to reflect levels of ri...
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