M.Comm. / Intangible assets are increasingly becoming the critical determinant of value creation and future profitability of most businesses. There is a clear distinction between the accounting treatment of physical assets and are reported on the firm’s balance sheets, but intangible assets are by large written off in the income statement, along with regular expenses such as wages, rents and interest. This distorted treatment of intangibles in an accounting sense, has dire consequences for managers, investors and policymakers relying on financial information, thus giving an extremely limited view of a company’s potential for value creation and are virtually worthless as a basis for assessing the value of intangible assets as a whole. This paper is limited to the valuation of intellectual property and intangible assets not reflected on the balance sheet and is primarily aimed at researching, exploring and identifying various intangible asset valuation techniques used to make investment decisions; the advantages and disadvantages of each valuation method so identified; identifying which one or more of the valuation methods identified is the most appropriate measure to valuate intangible assets; identifying the accuracy of the most appropriate valuation method selected as compared with the other methods. The problems posed by intangible assets appear to be based on two levels. The first is the difficulty to identify, collect and analyse data regarding intangible assets. The second overlapping level is the lack of external financial reporting on intangibles. The problem herein manifests itself in the lack of recognition of the current accounting principles, thus resulting in intangible assets not being systematically reported in financial statements leading to a lopsided view of the assets employed by a company to generate revenues.

No description available.

Thesis (M.Comm)--University of Western Sydney, Hawkesbury, 1993.

The tax on real property continues to be a major factor in the fiscal structure of municipal governments. Therefore, justice dictates that the impact of this tax be distributed equitably, however "equitable" may be defined by the legislative authority. This is an administrative problem. In many jurisdictions the administration is directed to distribute the tax impact on an ad valorem basis of current market value. Statistical measures have been devised in order to measure the uniformity of the assessment of current market values. The random variable is defined as the ratio of assessed value to actual sale price, and the sample is the result of property sales which occur under conditions which are circumscribed by the definition of market value. The estimated parameters are then used to make direct statistical inferences regarding the level and uniformity of assessment. These parameters are then compared to pre-selected standard parameters in order to judge the relative uniformity of the assessment roll. First, market generated sales do not produce a random sample of the assessment roll. Therefore, direct statistical inferences from the sample do not apply to the assessment roll. Second, it is demonstrated that the standard parameters are implicitly based on an assumption that the universe of assessment-sale price ratios is normally distributed. The results of empirical investigation upon the Vancouver assessment roll indicate that the normality assumption cannot be justified. Therefore, the pre-selected standards are useless as measures by which to judge the relative uniformity of an assessment roll. Two alternative measures of assessment quality are proposed. First, a binomial model based on correct and incorrect valuation is examined. Though this has some practicable possibilities, it cannot, without some important value judgements, be used to measure degrees of quality or uniformity. A second alternative is proposed in order to overcome the above limitation. The alternative suggests that a good assessment roll have assessment-market value ratios which are normally distributed, and that the actual distribution of assessment-sale price ratios be tested for "goodness-of-fit" to the ideal distribution. The test parameters can be transformed to probability levels which would measure the quality or uniformity of the assessment roll. This measure may indicate that a highly uniform assessment roll on which most of the properties are under-assessed is of lower quality than an assessment roll on which more properties are correctly assessed, but less uniformly assessed. Though it is unlikely that uniformity of assessment can be achieved without correct valuation, it cannot be held that an assessment roll on which more properties are correctly assessed is of higher quality of assessments than a roll on which most properties are under-assessed, if the uniformity of assessment on the former roll is not at least as high as the uniformity of assessment on the latter roll. Since the measures of assessment quality and uniformity examined are not satisfactory, it is concluded that statistical analysis in assessment administration may be more usefully applied to the analysis of the causes of assessment errors than to the measurement of the number and size of the errors. / Business, Sauder School of / Graduate

M.Ing. / With the introduction of "International Financial Reporting Standards" (IFRS) through out Europe in April 2001, there is a requirement to accurately report the value of all company assets. This will include by implication all intangible assets and Intellectual Property, such as patents, trademarks, copyrights, and know-how. Items that have not been recorded before are much more visible under IFRS and will need to be carefully interpreted by investors and analysts. In order to meet the future needs of their business, companies will require stringent measures to determine and report the true value of their assets, including intangible assets like patents, trademarks, copyrights, and know-how. Currently there is a lack in methodology which can accurately and reliably determine the value of Intellectual Property for the European business community. Research is being performed by the Max Planck institute in Munich (home of the European Patent Office) to develop a comprehensive model to uniformly evaluate different types of intangible assets. There are several different quantitative models which are which are being used currently to value patents. The existing methods can not be used to objectively compare patents with one another. It is necessary to build a method that can be applied systematically to different patents in various contexts to achieve symetrical evaluations. This dissertation project will be focused on building a model to produce a score for European Patents indicative of their statistical survivability. The model will predict which patents will be maintained based on objective criteria that correlate with historical maintenance of previous patents. The model will examine different factors that have a statistically significant correlation to either higher or lower survivability or abandonment rates. Examples of the factors to be considered include: prior art citations, disclosure, claims, prosecutions, forward citing, ownership and others. This project will produce a model which indicates the statistically survivability of European Patents in terms of a qualitative score which gives an indication of how valuable a patent will be in terms of it's survivability in a legal landscape. This model will then be extended by research currently underway at the Max Planck Institute, to a more comprehensive model that takes additional variables into account, but this is 2 outside the scope of this project. The extension of this system is to encompass the technological, financial and business strategic and legal landscapes. This project contributes towards a system that will help determine the value of a company's Intellectual Property, allowing these intangible assets to be disclosed to shareholders as required by the new International Financial Reporting Standards in Europe.

published_or_final_version / Real Estate and Construction / Master / Master of Science in Construction Project Management

This thesis examines the use of computer technology in the direct comparison method of valuation within the context of mass appraisal for rating and taxing purposes. Computer database, spreadsheet and statistical packages were utilised in the analysis of seven hundred and fifty residential land sales from two areas of Western Sydney. The prime objective of the research was to provide valuers with a personal computer based system that could be applied to direct comparison valuation. Two main approaches were taken in the analysis of sales and prediction of values. The first comprised stepwise multiple regression analysis. The second comprised the adjustment grid (or matrix) approach (which is based on paired sales techniques assisted by spreadsheet technology). The study has been limited to the analysis and prediction of values for residential land. Valuers who carry out mass appraisals may also be required to value industrial, commercial, and retail lands. Therefore, there is a need for further research relating to the applicability of the computerised techniques discussed in this thesis. / Master of Commerce (Hons.)

The real property tax has a major impact on real property owners in all Canadian municipalities. As with all systems of taxation it is important that the burden of this tax be distributed fairly and equitably. Legislators have attempted to ensure equitable treatment among real property owners by requiring that the basis of assessment should be 'actual value'. However, due to the large numbers of properties to be valued, assessors have not been able to use the market approach to value, a valuation technique known to produce 'actual values'. Rather, they have resorted to the more subjective cost approach to value. While the mechanics of the cost approach lend themselves to the mass valuation problem, they rarely produce values that can be equated with actual market values. The application of multiple regression analysis is presented as a solution to this valuation problem. Multiple regression analysis enables the assessor to produce objectively the 'actual value' of all single family homes in a municipality. After presenting multiple regression analysis as a modern application of the market approach to value, the applicability of this valuation technique is tested on actual sales data. A sample of approximately four hundred recently sold single family homes is subjected to valuation by multiple regression analysis. Various experiments, including means of stratifying the data are presented in an attempt to produce high standards of solution. While the statistical results of the experiment are not of sufficient calibre for practical assessment purposes, they do reveal how continued experimentation can improve the applicability of this valuation technique to mass appraisal. Multiple regression analysis is the assessor's tool of the future. It facilitates the application of a valuation technique that will permit the assessor to meet his statutory obligation while still allowing him to adhere to sound appraisal methodology. / Business, Sauder School of / Graduate

In the theoretical part of the work, firstly, the basic concepts of the property valuation are defined and there are also described the primary basis information types for valuation. Furthermore, this part describes the system of property valuation in the Czech Republic and abroad. The theoretical part is concluded with the retrieval of the main valuers umbrella organization. The analytical part deals with market and administrative valuation of an apartment building in Prague. The thesis is focused to the issue of "regulated" rents in the property valuation process and proposes its own market valuation method concept. Finally the author points out the main differences between the market and administrative system of property valuation.

published_or_final_version / Real Estate and Construction / Master / Master of Science in Real Estate and Construction Development