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There is a dramatic increase in the number of companies whose value lies largely in their intangible assets; with relatively little or no value associated with their tangible assets. Traditional methods of valuation, based on accounting principles, where the value of the firm’s assets is a portion of the value, have systematically undervalued companies such as these. This article discusses the problem of valuing intangibles companies and suggests two approaches to determining their value. It also describes two common circumstances where company value is desired and discusses how value may be determined using a non‐traditional perspective on the company along with traditional methods for valuation. The two circumstances examined are the going‐concern value and the value under merger or acquisition circumstances (recognizing that these two circumstances produce very different valuations for the corporation).

There is currently a major debate about the future of pension provision in Britain. Much of that debate concerns levels and sources of income. But there is also growing interest in the role that assets and bequests might play in raising people's living standards in later life. Based on a major new survey of attitudes to inheritance and assets, this article argues that assets will not fill the pensions gap for those on the lowest incomes as these groups are least likely to have assets and among those that do, there is more support for the concept of preserving assets for inheritance than among more affluent groups. Bequests will also fail to help those most in need of a windfall as receipt of inheritances currently benefits the most affluent groups. However, among those with assets, there does seem to be more interest in liquidating assets, including housing assets, than previous research has suggested. Some people, therefore, are prepared to liquidate their assets in later life to supplement their income.

An organization's value structure is measured in terms of assets or lack of assets. Assets are items that have an exchange value. In a more strict accounting sense, assets are the resources of a person or business. Common types of assets are cash, equipment, real estate property, inventory, and good will. In the service industry employees are often described as assets to their company because their skills and personal contacts produce value for the firm. Information is considered an asset by organizations ranging from CBS or NBC to the Central Intelligence Agency. For many companies information is an asset, a type of raw material that contributes to the product development process. Information, of course, also may be that company's product. The concept of assets can provide a valuable way of viewing the management of a library.

The aim of this research is to analyse the impact of intangible assets on firm’s sporting and financial performance.

The hypothesis of this research was developed through grounded theory and previous findings from the literature. This study adopted multiple regression method to analyse the impact of intangible assets on sporting and financial performance.

The findings indicate that intangible assets affect both sporting and financial performance. This is consistent with resource‐based view theory, which maintains that firms achieve a sustainable competitive advantage and superior financial performance by owning or controlling intangible strategic assets. By intangible strategic assets, it is meant the specific and valuable capability that belongs to the organisation.

The finding of this study is limited to a sample of UK listed soccer corporations. A possible opportunity of future research is to replicate the current study with other corporations and explore alternative measures of intangible assets.

The main innovation contained in this study relies on the measure of intangible assets. This paper employed players’ registration costs as a measure of intangible assets. To my knowledge this has not been addressed before in finance and accounting research.

This paper is an addition to the current debate on how to measure and recognise intellectual assets and liabilities. A conceptual approach has been proposed so that intellectual assets and liabilities can be recognised in the financial statements using market value as a reference point acknowledging that intellectual assets and liability items cannot be measured accurately to recognise them individually. It was constructed using the common ground between financial reporting and intellectual assets and liability management. It has used an intellectual assets definition, an intellectual assets indicator at an organizational level, the Australian conceptual framework in accounting and recently published and revised accounting standards in Australia as tools for its construction.

Recent developments in the EU’s anti-corruption strategy have brought the EU closer to meeting the UNCAC’s objectives, i.e. the Proposal for a Directive on combating corruption (2023) and the Proposal for a Directive on Asset Recovery and Confiscation (2022). This paper aims to discuss these developments from the perspective of the UNCAC, to identify missing elements in the EU’s asset recovery mechanisms.

Critical approach towards EU anti-corruption policy (discussing the problems and solutions). Review of EU developments in asset recovery law.

There is a political will on the part of the EU to fight corruption through the rules enshrined in the UNCAC. However, improving EU law by introducing a new type of confiscation of unexplained wealth and criminalising illicit enrichment, without establishing convergent rules for the return of corrupt assets from EU territory to the countries of origin, cannot be seen as sufficient action to achieve the UNCAC’s objectives. In modelling mechanisms of the return of assets, the EU should search for solutions to overcome the difficulties resulting from the ordre public clause remaining a significant factor conditioning mutual legal assistance.

This paper discusses the possible input of the EU, as a non-State Party to the UNCAC, to advance implementing the UNCAC solutions on asset recovery by establishing convergent rules for the return of corrupt assets from EU territory to countries of origin.

This study aims to demonstrate and measure the impact of liquidity shocks on a bank’s solvency, especially when the bank does not hold sufficient liquid assets.

The proposed model is an extension of Merton’s (1974) model. It assesses the bank’s probability of default over one or two (short) periods relative to liquidity shocks. The shock scenarios are materialised by different net demands for the withdrawal of funds (NDWF) and may lead the bank to sell illiquid assets at a depreciated value. We consider the possibility of second-round effects at the beginning of the second period by introducing the probability of their occurrence. This probability depends on the proportion of illiquid assets put up for sale following the initial shock in different dependency scenarios.

We observe a positive relationship between the initial NDWF and the bank’s probability of default (particularly over the second period, which is conditional on the second-round effects). However, this relationship is not linear, and a significant proportion of liquid assets makes it possible to attenuate or even eliminate the effects of shock scenarios on bank solvency.

The proposed model enables banks to determine the necessary level of liquid assets, allowing them to resist (i.e. remain solvent) different liquidity shock scenarios for both periods (including eventual second-round effects) under the assumptions considered. Therefore, it can contribute to complementing or improving current internal liquidity adequacy assessment processes (ILAAPs).

The proposed microprudential approach consists of measuring the impact of liquidity risk on a bank’s solvency, complementing the current prudential framework in which these two topics are treated separately. It also complements the existing literature, in which the impact of liquidity risk on solvency risk has not been sufficiently studied. Finally, our model allows banks to manage liquidity using a solvency approach.

The purpose of this study is to shed light on the impact of economic policy uncertainty (EPU) on asset redeployability. Capitalizing on a novel measure of asset redeployability, the authors explore the effect of economic policy uncertainty (EPU) on redeployable assets using a unique text-based measure of EPU. Asset redeployability is an important aspect of sustainability that has been largely overlooked. More redeployable assets can be repurposed for a variety of uses, lessening the necessity for new products and thus conserving natural resources.

In addition to the standard regression analysis, the authors execute a variety of robustness checks, i.e. propensity score matching, entropy balancing, instrumental-variable analysis, GMM dynamic panel data analysis and use Oster’s (2019) approach for testing coefficient stability. Importantly, the authors incorporate firm fixed effects in the analysis, which helps mitigate endogeneity due to unobservable firm characteristics.

Based on an immense sample of over 200,000 observations over three decades, the results reveal that greater uncertainty raises asset redeployability significantly. The findings corroborate the managerial prudence hypothesis. The future deployment of assets is less predictable in times of increased uncertainty. Consequently, during uncertain times, it is more prudent to have assets that can be redeployed for multiple purposes.

To the best of the authors’ knowledge, this is the first study to explore the impact of EPU on asset redeployability, which is a critical aspect of sustainability that has rarely been investigated in the literature. The authors fill this important void in the literature. The authors extend the literature in EPU, asset redeployability as well as sustainability.

This study empirically investigates the relationship between goodwill assets and capital structure (i.e. debt ratio) of firms and the moderating effect of financial market development on the relationship between goodwill assets and capital structure.

This research applied a quantitative method. The article collects large samples of listed firms from 23 developing and nine developed countries and applied the panel data techniques. This research used firm-level data from the DataStream database for both developed and developing countries. The study uses 4,912 firm-level data from 23 developing countries and 4,303 firm-level data from nine developed countries.

The findings reveal a significant positive relationship between goodwill assets and capital structure in developing countries, but goodwill assets have a significant negative relationship with capital structure in developed countries. Moreover, financial market development positively moderates the relationship between goodwill assets and the capital structure of firms in developing countries. The results inform firm managers that goodwill assets serve as additional collateral to secure debt financing. Moreover, policymakers should formulate a debt market policy that recognizes goodwill assets as additional collateral for the purpose of obtaining debt capital.

The study has several implications. First, goodwill assets are identified as a factor of capital structure in this study. Fixed assets have been identified as one of the drivers of capital structure in previous research, although goodwill assets are seldom included. Second, this article shows that along with demand-side determinants, supply-side determinants also play an important role in terms of the firms' choice about the capital structure. Therefore, firms should take both the demand-side and supply-side factors into consideration when sourcing for external financing (i.e. debt capital).

The study considered goodwill as a component of capital structure. The study analysis includes a large sample of enterprises, including 4,912 big firms from 23 developing countries and 4,303 large firms from nine industrialized or developed countries, which adds to the current capital structure information. Furthermore, a large sample size increases the results' robustness and generalizability.

The purpose of this paper is to explore the concept of data assets and how companies can assetize their data. Using the literature review methodology, the paper first summarizes the conceptual controversies over data assets in the existing literature. Subsequently, the paper defines the concept of data assets. Finally, keywords from the existing research literature are presented visually and a foundational framework for achieving data assetization is proposed.

This paper uses a systematic literature review approach to discuss the conceptual evolution and strategic imperatives of data assets. To establish a robust research methodology, this paper takes into account two main aspects. First, it conducts a comprehensive review of the existing literature on digital technology and data assets, which enables the derivation of an evolutionary path of data assets and the development of a clear and concise definition of the concept. Second, the paper uses Citespace, a widely used software for literature review, to examine the research framework of enterprise data assetization.

The paper offers pivotal insights into the realm of data assets. It highlights the changing perceptions of data assets with digital progression and addresses debates on data asset categorization, value attributes and ownership. The study introduces a definitive concept of data assets as electronically recorded data resources with real or potential value under legal parameters. Moreover, it delineates strategic imperatives for harnessing data assets, presenting a practical framework that charts the stages of “resource readiness, capacity building, and data application”, guiding businesses in optimizing their data throughout its lifecycle.

This paper comprehensively explores the issue of data assets, clarifying controversial concepts and categorizations and bridging gaps in the existing literature. The paper introduces a clear conceptualization of data assets, bridging the gap between academia and practice. In addition, the study proposes a strategic framework for data assetization. This study not only helps to promote a unified understanding among academics and professionals but also helps businesses to understand the process of data assetization.