Transforming Vulnerability Indexing for Saltwater Intrusion into Risk Indexing through a Fuzzy Catastrophe Scheme

Mapping vulnerability to Saltwater Intrusion (SWI) in coastal aquifers is studied in this paper using the GALDIT framework but with a novelty of transforming the concept of vulnerability indexing to risk indexing. GALDIT is the acronym of 6 data layers, which are put consensually together to invoke a sense of vulnerability to the intrusion of saltwater against aquifers with freshwater. It is a scoring system of prescribed rates to account for local variations; and prescribed weights to account for relative importance of each data layer but these suffer from subjectivity. Another novelty of the paper is to use fuzzy logic to learn rate values and catastrophe theory to learn weight values and these together are implemented as a scheme and hence Fuzzy-Catastrophe Scheme (FCS). The GALDIT data layers are divided into two groups of Passive Vulnerability Indices (PVI) and Active Vulnerability Indices (AVI), where their sum is Total Vulnerability Index (TVI) and equivalent to GALDIT. Two additional data layers (Pumping and Water table decline) are also introduced to serve as Risk Actuation Index (RAI). The product of TVI and RAI yields Risk Indices. The paper applies these new concepts to a study area, subject to groundwater decline and a possible saltwater intrusion problem. The results provide a proof-of-concept for PVI, AVI, RAI and RI by studying their correlation with groundwater quality samples using the fraction of saltwater (f_sea), Groundwater Quality Indices (GQI) and Piper diagram. Significant correlations between the appropriate values are found and these provide a new insight for the study area.

     

Teaching foreign currency translation: A flowchart approach

This paper briefly discusses the major aspects of FASB Statement No. 52 and presents a flowchart designed to assist accounting instructors in teaching the accounting and reporting requirements for foreign currency translations.     

Effect of foreign GAAP earnings and Form 20-F reconciliations on revisions of analysts' forecasts

A controversial area of U.S. securities regulations involves the Securities and Exchange Commission's (SEC) financial reporting requirements for foreign firms, specifically, the necessity of providing a quantitative reconciliation to U.S. GAAP (Form 20-F). The results of earnings-returns research to date indicate that the release of foreign GAAP earnings provides important information. However, the results of earnings-returns studies using reconciled information are mixed. Instead of using an earnings-returns methodology adopted in prior research, this study utilizes analysts' revisions as a market indicator of the effect of information released in foreign GAAP earnings and the reconciled information in Form 20-F. Additionally, the study investigates the influence of four firm-specific variables in the firm's information environment—similarities of accounting systems, analyst following, difference between reconciled earnings and foreign GAAP earnings, and dispersion of analysts' expectations—on positive abnormal revision activities of financial analysts at the time of filing Form 20-F.The results indicate that the release of foreign GAAP earnings (at earnings announcement dates) and reconciled information (at the time of filing Form 20-F) contains relevant information as measured by analysts' revisions. Further, variables representing analyst following, change in reconciled earnings, and dispersion of analysts' expectations are significant in explaining the variation observed in positive abnormal revisions.     

Probabilistic Event Based Rainfall-Runoff Modeling Using Copula Functions

Multivariate probability analysis of hydrological elements using copula functions can significantly improve the modeling of complex phenomena by considering several dependent variables simultaneously. The main objectives of this study were to: (i) develop a stand-alone and event-based rainfall-runoff (RR) model using the common bivariate copula functions (i.e. the BCRR model); (ii) improve the structure of the developed copula-based RR model by using a trivariate version of fully-nested Archimedean copulas (i.e. the FCRR model); and (iii) compare the performance of the developed copula-based RR models in an Iranian watershed. Results showed that both of the developed models had acceptable performance. However, the FCRR model outperformed the BCRR model and provided more reliable estimations, especially for lower joint probabilities. For example, when joint probabilities were increased from 0.5 to 0.8 for the peak discharge (q_p) variable, the reliability criteria value increased from 0.0039 to 0.8000 in the FCRR model, but only from 0.0010 to 0.6400 in the BCRR model. This is likely because the FCRR considers more than one rainfall predictor, while the BCRR considers only one.

     

Production economies of small depository institutions in the post-FIRREA era: evidence from cooperative banks

To evaluate the effects of the Financial Institutions Reform, Recovery and Enforcement Act (FIRREA) of 1989 on the cost behaviour of thrift institutions, this study examines the economies of scale and scope of cooperative banks for the years 1992–94. The findings provide evidence of economies of scale and scope over the period under study. In addition, the results suggest the presence of product-specific economies of scale and scope with respect to a few of the products included in the portfolios of the samples. Some policy implications are drawn based on the findings.     

Environmental vulnerability assessment of Choghakhor International Wetland during 1985 to 2018

As of natural constraints, and the specific climate of Iran, as well as the increasing importance of international water resources in the socio‐economic development of societies, studies on surface water resources, especially wetlands, merit special attention. Accordingly, the TM, ETM+ and OLI satellite images of 1985, 2000 and 2018 were used in the present study to detect changes in the Choghakhor international wetland. Classifying the images with a supervised method, and using maximum likelihood algorithms, the distinct land use/land cover classes of waterbody, aquatic plants, pasture and forest, agricultural lands, bare land and human built lands were ranked. Selected landscape metrics information on the spatial pattern of the Choghakhor wetland was quantitatively determined, using Fragstats software, and the spatial composition and vulnerability of the wetland were evaluated. The vulnerability assessment of wetland contamination was investigated using the WRASTIC index based on the catchment area scale. Time processing of the data obtained from the maps indicated a 26.63% decrease in the pasture and forest area, and a 12.1% increase in the area of human built lands and agriculture lands during the period from 1985 to 2018. Further, in spite of the waterbody area expanding during 1985 to 2000, it subsequently shrunk in size from 2000 to 2018, with the area of aquatic plants lands increasing during the same period. Analysis of landscape metrics generally indicated the natural wetland cover has been changing during this period along with increasing anthropogenic impacts. Degradation, rotation and replacement of natural land cover such as pastures and forests with human built areas can be considered undesirable development effects on the Choghakhor wetland. The results of the WRASTIC index calculation indicated a major impact of Choghakhor wetland components from water pollution. The results of the present study place an emphasis on more sustainable land use and prevention of land destruction in the Choghakhor wetland basin.     

The impact of corporate social disclosure on investment behavior: A cross-national study

We examine the impact of corporate social disclosure (CSD) on investment behavior in the US, Japan, France, and Sweden using stakeholder theory as the underlying framework for our analysis. We find that there is a significant difference in investors’ reactions to CSD across countries. Using a unique stakeholder scale we also find that these reactions are related to the investors’ stakeholder orientation. These findings provide insight into cross-national differences in the perceived relevance of CSD to investors.     

Short to Long-Term Forecasting of River Flows by Heuristic Optimization Algorithms Hybridized with ANFIS

Water Resources Management - Accurate forecast of short-term to long-term streamflow prediction is of great importance for water resources management. However, with the advent of novel hybrid...     

Compliance with IFRS disclosure requirements and individual analysts’ forecast errors

We investigate the relationship between analysts’ earnings forecast errors and firm compliance with the disclosure requirements of International Financial Reporting Standards (IFRS). Using a comprehensive disclosure index of selected IFRS for which previous research has indicated significant noncompliance, we develop an unweighted and an innovative weighted measure of IFRS disclosure compliance. We document that forecast error is negatively related to IFRS compliance, and that the magnitude of this effect is larger when controlling for analyst fixed effects. Our findings suggest that compliance with the disclosure requirements of IFRS reduces information asymmetry and enhances the ability of financial analysts to provide more accurate forecasts. Our findings also support the viewpoint that the extent of compliance with accounting standards is as important as the standards themselves. Our results are robust to alternative model specifications.