In contemporary complex societies, social values like ethics, corporate social responsibility, and being respectful with the environment, among others, are becoming social requirements. Corporations are expected to fulfill them and, according to empirical evidence, an overwhelming majority aspires to good social valuation. At the same time, the maximization of market share value in the long run continues to be the central corporate goal. Making environmental and social expenses compatible with value creation is a central challenge for corporations since it implies the financial sustainability of Corporate Social Responsibility (CSR). The value creation capacity of CSR projects, mainly through innovation, is widely acknowledged in economic literature and corporate practice. This fact arouses the need of having a quantitative framework capable of summarizing the value creation capacity of the variables involved in CSR projects. With this aim we build up a sensitivity analysis of real option ratios that studies and quantifies the value creation capacity of CSR projects connected with innovation. Ratio analysis has the advantage of being scale independent. Hence, it furnishes a homogeneous framework to express the interaction of value creation variables and, thus, supports strategic thinking quantitatively. Often, CSR expenses can be regarded as preliminary projects that create the opportunity to undertake a full future project. For them, we obtain the minimum expectations scenario that makes financially sustainable a preliminary project that can be interpreted as a call option. We propose a classification of CSR projects from the decision analysis perspective following a two-fold approach: Their relationship with value creation and their links with existing corporate activities. This classification of CSR projects aims at contributing to choose the best capital budgeting method to study the financial sustainability of the project and identifying those CSR projects that fulfill the required features to be studied from the real options perspective.

This paper explores how financial markets can support the practical applicability of Sustainability Development Goals (SDGs) principles and why ethics has a central role in this process. The efficient market hypothesis holds that a financial market is efficient when prices equate value. Extending this assertion to sustainability, it can be said that prices should become equal to sustainable value. Prices can be regarded as the addition of the present value of future expectations and the impact of short-term volatility. This property parallels the existence of two different types of shareholders: long-run shareholders, who are often involved in the management of the corporation, and short-run shareholders, who usually apply speculative strategies to the choice of their investments. The SGDs’ principles are logically thought for a long-run horizon. Their impact on corporate value stems mainly from the changes they introduce in environmental and social risk, apart from becoming a potential source of innovation. Nevertheless, their effects on the short-run perspective can be very small unless either market traders assume sustainability as a goal of their own or the sustainability effects are incorporated into prices. We hold that the second issue is safer and preferable. Both involve ethics: the former would require that investors perform any trade from an ethical perspective. The latter needs that the ethical emphasis is placed on the process of price determination. The achievement of this goal demands a wide display of information on sustainability, placed together with financial information, and appropriate regulation. Its analysis considers the principles of behavioral finance.

This paper focuses on the evaluation of Corporate Social Responsibility (CSR) investment projects from the perspective of the triple bottom line. One of the most relevant roles of CSR is the mitigation of the negative externalities generated by corporate investments, which often requires undertaking specific investment projects that fall in the scope of CSR. The main goal of these CSR projects is to improve corporate sustainability instead of maximising financial value creation. Thus, they must be evaluated for their impact on the natural, social, and financial capitals, answering these three questions: What is its efficacy for the mitigation of the externalities under consideration? What is its economic efficiency for stakeholders? What is its financial sustainability? The proposed evaluation method interlinks monetary with physical units by generating dimensionless indicators. The paper also presents a metric that unites in a single indicator the effects on the natural, social, and financial capitals. Reliable capital budgeting decisions must fit with corporate strategic planning. Since this principle also holds for CSR, the paper includes a section on the strategic planning of CSR. A numerical illustration and a case study, developed with the aid of text mining techniques, show the applicability of the findings of this paper.

The progressive expansion of Corporate Social Responsibility (CSR) has been accompanied by an increasing interest from regulators and market analysts. Governments and supra-national organisations have issued guidance rules on CSR, while market analysts have created a set of gatekeepers focused on its evaluation, publishing rankings and comparative reports. The UN Global Compact and the sustainability indexes are two relevant examples. The complexity and some of the functions of this CSR infrastructure have common features with the financial system. Information is at the core of both. The distinction between information and noise is central for building up efficient financial markets. The aim of this paper is to analyse how information can be separated from noise in CSR. To this end, we develop a qualitative model that centres on the following variables: the CSR features of the project under consideration, its financial features, its relationship with corporate strategy, the performance metrics for its analysis, the different kinds of risk it involves, and its impact on value creation. This model relies on two common functions that we identify in the CSR infrastructure and the financial system: the defining function and the performance information function. The model is applied to Adidas’ CSR policy.

We study the applicability of the half-normal distribution to the probability–severity risk analysis traditionally performed through risk matrices and continuous probability–consequence diagrams (CPCDs). To this end, we develop a model that adapts the financial risk measures Value-at-Risk (VaR) and Conditional Value at Risk (CVaR) to risky scenarios that face only negative impacts. This model leads to three risk indicators: The Hazards Index-at-Risk (HIaR), the Expected Hazards Damage (EHD), and the Conditional HIaR (CHIaR). HIaR measures the expected highest hazards impact under a certain probability, while EHD consists of the expected impact that stems from truncating the half-normal distribution at the HIaR point. CHIaR, in turn, measures the expected damage in the case it exceeds the HIaR. Therefore, the Truncated Risk Model that we develop generates a measure for hazards expectations (EHD) and another measure for hazards surprises (CHIaR). Our analysis includes deduction of the mathematical functions that relate HIaR, EHD, and CHIaR to one another as well as the expected loss estimated by risk matrices. By extending the model to the generalised half-normal distribution, we incorporate a shape parameter into the model that can be interpreted as a hazard aversion coefficient.

Purpose: This paper aims to analyse the corporate rent-vs-buy decision on real estate through the trade-off theory and default option in the framework of a corporation that aims to optimise its capital structure.Design/methodology/approach: The methodological core of this paper comprises the trade-off theory that approaches the optimal capital structure by counterbalancing debt tax savings with bankruptcy costs. Impacts on the default option and the default barrier are made explicit. The paper also explores the practical applicability of the renting scenarios in the European context by examining the regimes of real estate investment trusts in different countries from the demand-side of commercial renting.Findings: Analytical relationships with tax savings, bankruptcy costs, default option and default barrier are identified for the renting-vs-buying real estate decisions.Research limitations/implications: The theoretical model assumes simplifications, such as constant debt, to make it operational. The paper centres exclusively on the trade-off capital structure theory.Practical implications: This paper is an analysis of corporate real estate decisions together with capital structure. Applications are not only quantitative but also conceptual and strategic.Originality/value: Identifying the main variables that govern the impact of corporate real estate decisions on capital structure and interweaving different approaches generates a conceptual framework that enlightens strategic thinking in this field.