The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform

Haim Reisman - One of the best experts on this subject based on the ideXlab platform.

  • Accounting Data and asset valuation: Theory
    Review of Quantitative Finance and Accounting, 1994
    Co-Authors: Kose John, Teresa A. John, Haim Reisman
    Abstract:

    Firms and divisions which are not traded on organized exchanges are often valued without the benefit of market Data. Accounting Data is used instead. One suggested approach is to use Accounting beta as a proxy for market return beta. In the context of the Arbitrage Pricing Theory, we provide a theoretical justification for such a procedure. Our results provide a set of sufficient conditions so that return betas and Accounting betas are equal. Our results also suggest a general methodology for evaluating projects and untraded firms using Accounting Data. The method underlying the derivation here is very general and can be applied in deriving testable restrictions between fundamentals, broader in context than that of Accounting variables.

Petr Hanzal - One of the best experts on this subject based on the ideXlab platform.

  • The examination of the validity of Bendford´s model in scope of Accounting Data of entrepreneurial units in the Czech Republic
    2020
    Co-Authors: Petr Hanzal, Ivana Faltová Leitmanová
    Abstract:

    The aim of this paper is to prove the validity, alternatively to elaborate the Benford’s model, in the scope of Accounting Data, gained from the entrepreneurial units in the Czech republic, as the part of study of the external regional economic relations at the level of the entrepreneurial subjects. The result of the examination should be considered as the contribution to the information system of the tax authorities, disposable to detect of the fraud in Accounting Data and to improve the efficiency of the tax inspections.

  • Accounting Data of ERP Systems and Spatial Autocorrelation Analysis
    2017
    Co-Authors: Petr Hanzal
    Abstract:

    This paper is seen as a contribution to the field of enterprise resource planning systems (ERP) and their application in spatial autocorrelation. The main objective is to demonstrate the possibility of using Accounting Data of enterprise information systems for regional statistics, identifying spatial autocorrelation of economic activities, through a set of Accounting Data obtained from enterprises. The theoretical framework provides a theoretical basis for the definition spatial statistics evaluation and indicators of economic activity.  Interpretation of statistical methods are then used in the practical part, derived from Accounting Data of enterprise resource planning systems, 30 randomly selected enterprises with nationwide coverage in CR, regardless of the branch structure.

  • Accounting Data of ERP Systems and Spatial Dependence of Econo-mic Activity
    2016
    Co-Authors: Petr Hanzal
    Abstract:

    This paper is seen as a contribution to the field of enterprise resource planning systems (ERP) and their application in spatial statistics. The main objective is to demonstrate the possibility of using Accounting Data of enterprise information systems for regional statistics, identifying spatial dependence of economic activities, through a set of Accounting Data obtained from enterprises. The theoretical framework provides a theoretical basis for the definition spatial statistics evaluation and indicators of economic activity.  Interpretation of statistical methods are then used in the practical part, derived from Accounting Data of enterprise resource planning systems, 30 randomly selected enterprises with nationwide coverage in CR, regardless of the branch structure.

Miroslava Vlčková - One of the best experts on this subject based on the ideXlab platform.

  • The Draft of Methodology for Assessment of Quality of Financial Accounting Data Using AHP Method
    2020
    Co-Authors: Miroslava Vlčková, Ludvík Friebel
    Abstract:

    The article deals with the quality of Accounting Data for business management. It has been suggested 12 the most important criterions that affect the quality of financial Accounting Data. These main criterions were further subdivided into three groups according to their mutual relation. Criterions within mentioned groups were evaluated by experts in order to determine their weights. For calculating the weightings of the particular criterions was used AHP method. Subsequently was proposed a rating scale for each criterion. The result is an integrated criterion (multicriteria evaluation model) for assessment the quality of Accounting Data for financial Accounting. The evaluation was carried out on a sample of Czech firms with similar characteristics.

  • Evaluation of the Quality of Accounting Data in the Regions of the Czech Republic based on Audits by the Tax Offices
    2017
    Co-Authors: Miroslava Vlčková
    Abstract:

    The quality Accounting Data (QAD) allows manage many processes in a business. The main goal of this paper is evaluate the quality of Accounting Data in companies and analyze if this quality has interdependence with numbers of audits by the Tax Offices. Data quality is one of the decisive factors in making the right decisions and the overall functioning of the company. It's not the only one, but a very important factor. In practice, there is proved Data quality relationship with the successful management of the company – non quality Data costs companies around the world each year hundreds of billions dollars. The paper will confront the impact of the numbers of audits by the Tax Offices with the quality of Accounting Data. These audits are performed under on-the-spot investigations. On-the-spot investigations are conducted by experts from all units of the Tax Offices, most often by experts from tax audit units. This units provide activities such as:  carry out the administration of taxes, payments and advances for these revenues, administer subsidies, conduct the offence proceedings, collect and enforce the payments, charges, settlements, considerations, fines and penalties, impose fines, decide on authenticity and amount of claims on taxes, payments and other revenues administered by them in the bankruptcy proceedings and others activities. A survey on the quality of Accounting Data was conducted on 5,489 enterprises, for each company were calculated individual indicators identified according to used model for determination the quality of Accounting Data and were calculated QAD by this model. Subsequently, values of quality of Accounting Data were compared and analyzed with information about financial audit provided by the Tax Offices. It was found that, because the used model is compiled especially for evaluating the quality of Accounting Data for management, there is no dependency between the various variables.

  • Crisis management and the impact of Accounting Data for management in crisis situations
    2013
    Co-Authors: Miroslava Vlčková
    Abstract:

    Crisis situations are in business generally difficult to predict and may occur in the build up to several negative phenomena and usually are quick. These are unique situations with which managers have no experience and can lead to abuse situations trading partners, competitors, etc. The role of Accounting Data and general information has a significant role in these situations. Managers must have particular information timely, current, credible, complete with good explanatory power, that they significantly reduce the risk of crisis.

  • Evaluation criteria of quality Accounting Data based on Saaty´s method and method of pair comparing
    2013
    Co-Authors: Miroslava Vlčková
    Abstract:

    Quality of Accounting depends on the quality of management and presentation of Accounting Data, but also on the quality of financial statements and their conformity with reality and legislation. Quality Accounting information enables to correctly measure the business performance, financial position and should respond to the requirements of individual users. The basic element for the evaluation of Accounting information is the level of quality perceived by the user of this information. The paper discusses how to use Saaty´s method to obtain information about the quality of reported Accounting Data. With this method, it is critical to build several criteria that fundamentally affect the quality of Accounting Data. On the basis of models of multi-criteria analysis variants with using subjective evaluation pairwise comparison determine weights of individual criteria. The principle is the decomposition of complex unstructured situation into simpler components, making a hierarchical system and then generalization option of decision model of the quality of Accounting Data.

Indrajit Mallick - One of the best experts on this subject based on the ideXlab platform.

  • Reconstructing Corporate Business History using Accounting Data
    2010
    Co-Authors: Indrajit Mallick
    Abstract:

    This paper attempts to outline a methodology for reconstructing the history of big enterprise. The problem is to construct an institutional narrative that captures the essential dynamics of corporate institution creation, institutional change, development into a large corporation and its maturity. It is argued that Accounting Data can be one of the most important inputs in this regard. However, Accounting Data is necessary but not sufficient for a complete account of the history of a large corporate enterprise. Similarly, other sources of information are necessary but not sufficient for the above purpose without Accounting Data. This paper focuses on the use of Accounting Data for reconstructing corporate history and also addresses partially how such Data can be combined with other sources of information to provide a complete story. We delve briefly into the nature of Accounting Data and the structure of Accounting record keeping. Reconstructing corporate history involves asking appropriate questions on financial structure, capital budgeting and investments, operations and strategy that Accounting Data reveal.

  • Reconstructing Corporate History Using Accounting Data
    2009
    Co-Authors: Indrajit Mallick
    Abstract:

    This paper attempts to outline a methodology for reconstructing the history of big enterprise. The problem is to construct an institutional narrative that captures the essential dynamics of corporate institution creation, institutional change, development into a large corporation and its maturity. It is argued that Accounting Data can be one of the most important inputs in this regard. However, Accounting Data is necessary but not sufficient for a complete account of the history of a large corporate enterprise. Similarly, other sources of information are necessary but not sufficient for the above purpose without Accounting Data. This paper focuses on the use of Accounting Data for reconstructing corporate history and also addresses partially how such Data can be combined with other sources of information to provide a complete story. We delve briefly into the nature of Accounting Data and the structure of Accounting record keeping. Reconstructing corporate history involves asking appropriate questions on financial structure, capital budgeting and investments, operations and strategy that Accounting Data reveal.

Kose John - One of the best experts on this subject based on the ideXlab platform.

  • Accounting Data and asset valuation: Theory
    Review of Quantitative Finance and Accounting, 1994
    Co-Authors: Kose John, Teresa A. John, Haim Reisman
    Abstract:

    Firms and divisions which are not traded on organized exchanges are often valued without the benefit of market Data. Accounting Data is used instead. One suggested approach is to use Accounting beta as a proxy for market return beta. In the context of the Arbitrage Pricing Theory, we provide a theoretical justification for such a procedure. Our results provide a set of sufficient conditions so that return betas and Accounting betas are equal. Our results also suggest a general methodology for evaluating projects and untraded firms using Accounting Data. The method underlying the derivation here is very general and can be applied in deriving testable restrictions between fundamentals, broader in context than that of Accounting variables.