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This paper explores the role of institutional objects in the constitution of institutional logics. Institutional objects depend for their objectivity on the goods produced through those objects, such as economic models, passports, or sacred texts. The authors theorize institutional logics as grammars of valuation that institutionalize goods through institutional objects. The authors identify four value moments through which goods are objectified: institution, the instituting of a good, a belief and an imagination of its objective goodness; production, how the good is produced, what practices are productive of the good; evaluation, how good is the good, the practices and objects through which worth in terms of that good is determined, and territorialization, the domain of reference of the good, to what objects and practices a good can and does refer in its instantiations. The authors assess the adequacy of our model through an institutional object based on the good of “market value” – i.e., an options pricing model. The authors discuss the implications of these findings for institutional logical theory and the sociology of valuation.

The purpose of this paper is to use the Black-Scholes-Merton option pricing model to evaluate the incremental performance of an eChannel addition.

Data were collected from 53 Taiwan financial services firms. In total, 33 of them introduced their online services, whereas the other 20 firms did not introduce their online services during the period under examination.

The research findings show that firm asset values increase following eChannel additions. Thus, eChannel additions enhance firm financial performance. A further analysis comparing the performance between firms with and without eChannel additions also shows that firms with eChannel additions have higher asset value growth rates, which further validates the capacity of eChannel additions to enhance financial performance.

Managers and shareholders in firms making eChannel additions are not required to be concerned regarding stock price volatility, and managers in firms without any eChannel investment could use eChannels to enhance their stock price and seize future opportunities. Using eChannel is a valid approach for firms to provide enhanced services to current customers, access new markets, and extend market coverage, thus enhancing overall financial performance. Investors could confide those firms implementing eChannel additions.

Studies investigating whether eChannel additions enhance firm financial performance are scant. No study has evaluated performance from a long-term perspective or from a volatility aspect (both are important considerations in eChannel performance evaluation). The research represents a pioneering work that empirically investigates these issues.

It has long been challenged that the distributions of empirical returns do not follow the log-normal distribution upon which many celebrated results of finance are based including the Black–Scholes Option-Pricing model. Borland (2002) succeeds in obtaining alternate closed form solutions for European options based on Tsallis distribution, which allow for statistical feedback as a model of the underlying stock returns. Motivated by this, we simulate two distinct time series based on initial data from NIFTY daily close values, one based on the Gaussian return distribution and the other on non-Gaussian distribution. Using techniques of non-linear dynamics, we examine the underlying dynamic characteristics of both the simulated time series and compare them with the characteristics of actual data. Our findings give a definite edge to the non-Gaussian model over the Gaussian one.

The purpose of this paper is to use fundamental models incorporating structural relationships within the firm in a terminal value model for the second stage of a two-stage valuation model utilized to estimate the value of a company.

The innovation is that growth options are identified within the structural relationships and a model capturing the value of the optionality is incorporated in the second stage of the two-stage valuation model.

Significant outcomes are that terminal value is shown to be a large portion of a company’s total value and the price behavior for initial public offerings produced by the model is consistent with the result of empirical studies.

This paper explicitly incorporates growth options in the second stage of a two-stage valuation model for the firm.

This study updates the literature review of Jones (1987) published in this journal. The study pays particular attention to two important themes that have shaped the field over the past 35 years: (1) the development of a range of innovative new statistical learning methods, particularly advanced machine learning methods such as stochastic gradient boosting, adaptive boosting, random forests and deep learning, and (2) the emergence of a wide variety of bankruptcy predictor variables extending beyond traditional financial ratios, including market-based variables, earnings management proxies, auditor going concern opinions (GCOs) and corporate governance attributes. Several directions for future research are discussed.

This study provides a systematic review of the corporate failure literature over the past 35 years with a particular focus on the emergence of new statistical learning methodologies and predictor variables. This synthesis of the literature evaluates the strength and limitations of different modelling approaches under different circumstances and provides an overall evaluation the relative contribution of alternative predictor variables. The study aims to provide a transparent, reproducible and interpretable review of the literature. The literature review also takes a theme-centric rather than author-centric approach and focuses on structured themes that have dominated the literature since 1987.

There are several major findings of this study. First, advanced machine learning methods appear to have the most promise for future firm failure research. Not only do these methods predict significantly better than conventional models, but they also possess many appealing statistical properties. Second, there are now a much wider range of variables being used to model and predict firm failure. However, the literature needs to be interpreted with some caution given the many mixed findings. Finally, there are still a number of unresolved methodological issues arising from the Jones (1987) study that still requiring research attention.

The study explains the connections and derivations between a wide range of firm failure models, from simpler linear models to advanced machine learning methods such as gradient boosting, random forests, adaptive boosting and deep learning. The paper highlights the most promising models for future research, particularly in terms of their predictive power, underlying statistical properties and issues of practical implementation. The study also draws together an extensive literature on alternative predictor variables and provides insights into the role and behaviour of alternative predictor variables in firm failure research.

The purpose of this paper is to assess the significance of the Merton distance-to-default (DD) in predicting defaults for a sample of listed Indian firms.

The study uses a matched pair sample of defaulting and non-defaulting listed Indian firms. It employs two alternative statistical techniques, namely, logistic regression and multiple discriminant analysis.

The option-based DD is found to be statistically significant in predicting defaults and has a significantly negative relationship with the probability of default. The DD retains its significance even after the addition of Altman’s Z-score. This further establishes its robustness as a significant predictor of default.

The study re-establishes the utility of the Merton model in India using a simplified version of the Merton model that can be easily operationalized by practitioners, reasonably larger sample size and is done in a more recent period covering the post global financial crisis period. The findings could be valuable to banks, financial institutions, investors and managers.

The purpose of this paper is to investigate whether a non-monotonic relationship may exist between financial distress and foreign exchange (FX) exposure. The authors hypothesize that firms with higher FX exposures are those with the lowest levels of financial distress because the costs of hedging exceed the benefits and those with highest levels of financial distress due to the conflict of interest between shareholders and bondholders.

The methodology allows for the possibility of a non-monotonic relation between financial distress and FX exposure for firms known to have ex-ante exposures. The approach is to include a Black-Scholes-Merton financial distress measure and standard accounting-based financial distress measures.

The results support the hypothesis of a non-monotonic relationship between financial distress and exposure; companies with the lowest and highest levels of financial distress are willing to bear greater FX exposures.

The authors examine whether a non-monotonic relationship may exist between distress and FX exposure. Intuition for this non-monotonic relationship is provided by Stulz (1996) as he describes the risk management practices of firms with low, medium, and high default probabilities.

The purpose of the paper is to correct a commonly mistaken notion that an Asian option is always cheaper than its plain vanilla European counterpart in a general setting.

The paper shows that by letting volatility go to zero, the lower bounds of Asian options and vanilla options are derived. Those bounds are then compared.

The paper finds that the notion can be violated for call options when the dividend yield of the underlying stock is higher than the interest rate, as well as for put options when the dividend yield of the underlying stock is lower than the interest rate.

The approach used in this paper, boundary analysis, can be applied to other exotic options.

The results in the paper may affect decisions on trading Asian options.

The paper will be of value to those interested in using/pricing/hedging Asian options.

The purpose of this paper is to investigate if the volatility of stock prices in the days surrounding the Chapter 11 bankruptcy process predicts a firm’s likelihood to successfully restructure and emerge from bankruptcy.

The authors use a sample of Chapter 11 cases between 1980 and 2016 that have available stock price data surrounding the bankruptcy filing dates. Following Goyal and Wang (2013), the KMV–Merton model is utilized to estimate the probability that a firm successfully emerges from its restructuring process. In order to interpret the market’s assessment about a firm, the authors use the analogy of a European call option to derive the assessment of the firm’s prospects as the probability that it will emerge from bankruptcy. This estimated probability of emergence is compared to actual outcomes of bankruptcy cases and tested for significance using various regression techniques.

This study exploits the information found in stock prices surrounding the bankruptcy process and finds that volatility after, but not before, filing for bankruptcy significantly predicts a firm’s likelihood to emerge. In addition, the market-based probability of emergence has better predictive power on the recovery rates of unsecured creditors than measures based on financial statements.

Predictors of bankruptcy have been extensively studied by scholars over the decades, with early studies focusing on accounting-based measures and recent studies incorporating market-driven variables. However, in recent years, studies have begun to assess bankrupt firms’ ability to reorganize and successfully emerge from bankruptcy. This study contributes to the recent literature investigating market-based predictors of successful emergence.

This paper aims to review the literature on the use of the notion of performativity and its related concepts in accounting research. The literature uses the term performativity in almost diametrically different ways, yet most papers assume that the meaning of the term is self-evident. We build on recent reviews of the notion of performativity and explicate the implicit tensions in the accounting literature, discovering a need to clarify how the accounting literature has explored the processes – how accounting becomes performative – and effects – what is performed – of accounting performativity. The paper develops suggestions for future theoretical and empirical research.

The authors have searched in six leading accounting journals (Accounting, Organizations and Society, Accounting, Auditing and Accountability Journal, Management Accounting Research, Critical Perspectives on Accounting and Qualitative Research in Accounting and Management) for the terms “performativity” and/or “performative” and/or “performable”. This yielded 289 results from which we distilled a core sample of 92 papers which substantially draw on the concept and explicate their use of the term.

The authors find that the accounting literature has paid almost equal attention to the conforming and amplifying effects of performativity but has mostly explored how conditions of performativity are built. Less attention has been paid to how accounting generates multiple worlds and how differences in these worlds are coordinated by accounting. Building institutions and searching for accounting incompleteness have been developed as the two main processes where accounting is made performative.

The paper develops avenues for future research, highlighting the potential for a deeper understanding of how the notion of performativity can be used. We do not advocate homogenizing the literature, instead exploring its fruitful tensions to discover a renewed interest in how accounting is constitutive of existing and/or new worlds. We illustrate this potential by reflecting on the debates about accounting incompleteness and the boundaries of accounting. The authors also suggest the potentials for concepts of performativity in studying emerging phenomena such as big data and sustainability and revisiting the ethics of using accounting as a social and organizational practice.

The literature review explicates differences in the use of the term performativity, which usually remain implicit in the literature. The study develops a framework that attends to both the processes – problematizing the conditions for performativity or not – and effects – conforming and amplifying – of performativity accounting studies have drawn upon, which clarifies how the accounting literature has mobilized the notion of performativity and the contributions the accounting literature has added. Further, the authors extend Vosselman’s (2022) review both in scope and nuance.