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This paper models the lessee's default options and estimates the economic value of the options for a lessee using a discrete time binomial American option pricing model. Results show a positive relationship of the option premium with the original rent and a negative relationship with the relocation costs. Finds that the default probability is higher for lessees who are more sensitive to rental changes and place less emphasis on the fitting‐out quality. Suggests that rental volatility and rental growth rate are two significant factors that have positive relationships with the default option values. The risk‐free rate, on the other hand, has an inverse relationship with the default option values because a higher risk‐free interest rate reduces the present value of rental savings. Lease term length to expiration has a positive effect on the default option value, implying that the default option premium will decay as the term to expiry is shortened.

The objective of this paper is twofold: first, to model the value of the firm in the presence of contingent capital and multiple growth options over its life cycle in a stochastic universe to ensure financial stability and recover losses in case of default and second, to clarify how contingent convertible (CoCo) bonds as financial instruments impact the leverage-ratio policies, inefficiencies generated by debt overhang and asset substitution for a firm that has multiple growth options. Additionally, what is its impact on investment timing, capital structure and asset volatility?

The current paper elaborates the modeling of a dynamic problem with respect to the interaction between funding and investment policies during multiple sequential investment cycles simultaneously with dynamic funding. The authors model the value of the firm in the presence of contingent capital that provides flexibility in dealing with default risks as well as growth options in a stochastic universe. The authors examine the firm's closed-form solutions at each stage of its decision-making process before and after the exercise of the growth options (with and without conversion of CoCo) through applying the backward indication method and the risk-neutral pricing theory.

The numerical results show that inefficiencies related to debt overhang and asset substitution can go down with a higher conversion ratio and a larger number of growth options. Additionally, the authors’ analysis reveals that the firm systematically opts for conservative leverage to minimize the effect of debt overhang on decisions so as to exercise growth options in the future. However, the capital structure of the firm has a substantial effect on the leverage ratio and the asset substitution. In fact, the effect of the leverage ratio and the risk-shifting incentive will be greater when the capital structure changes during the firm's decision-making process. Contrarily to traditional corporate finance theory, the study displays that the value of the firm before the investment expansion decreases and then increases with asset volatility, instead of decreasing overall with asset volatility.

The study’s findings reveal that funding, default and conversion decisions have crucial implications on growth option exercise decisions and leverage ratio policy. The model also shows that the firm consistently chooses conservative leverage to reduce the effect of debt overhang on decisions to exercise growth options in the future. The risk-shifting incentive and the debt overhang inefficiency basically decrease with a higher conversion ratio and multiple growth options. However, the effect of the leverage ratio and the risk-shifting incentive will be greater when the capital structure changes during the firm's decision-making process.

The firm's composition between assets in place and growth options evolves endogenously with its investment opportunity and growth option financing, as well as its default decision. In contrast to the standard capital structure models of Leland (1994), the model reveals that both exogenous conversion decisions and endogenous default decisions have significant implications for firms' growth option exercise decisions and debt policies. The model induces some predictions about the dynamics of the firm's choice of leverage as well as the link between the dynamics of leverage and the firm's life cycle.

The purpose of this paper is to extend the models of Johnson and Stulz, Klein and Klein and lnglis to analyse the properties of vulnerable American options.

The presented model allows default prior to the maturity of the option based on a barrier which is linked to the payoff on the option. Various measures of risk denoted by the standard Greek letters are studied, as well as additional measures that arise because of the vulnerability.

The paper finds that the delta of a vulnerable American put does not always increase with the price of the underlying asset, and may be significantly smaller than that of a non‐vulnerable put. Because of deadweight costs associated with bankruptcy, delta and gamma are undefined for some values of the underlying asset. Rho may be considerably higher while vega may be smaller than for non‐vulnerable options. Also, the probability of early exercise for vulnerable American options is higher and the price of the underlying asset at which this is optimal depends on the degree of credit risk of the option writer.

This paper makes a contribution to understanding the effect of credit risk on option valuation.

The purpose of this paper is to theoretically examine the risk-taking decision of corporate defined benefits (DB) plans. The equity holders’ investment problem that is represented by the position of a vulnerable option is solved.

The simple traditional contingent claim approach is applied, which considers only the distributions of corporate cash flow, without the model expansions, such as market imperfections, needed to explain the firms’ behavior for DB plans in previous studies.

The authors find that the optimal solution to the equity holders’ DB investment problem is not an extreme corner solution such as 100 percent investment in equity funds as in the literature. Rather, the solution lies in the middle range, as is commonly observed in real-world economies.

The major value of this study is that it develops a clear mechanism for obtaining an internal solution for the equity holders’ DB investment problem and it provides the understanding that the base for corporate investment behavior for DB plans should incorporate the fact that in some cases the optimal solution is in the middle range. Therefore, the corporate risk-taking behavior of DB plans is harder to identify than the results of the empirical literature have predicted.

Counterparty risk is usually defined as the risk which stems from the fact that the counterparty of a derivative contract is not solvent before or at expiration. As most of the derivative trading activity has been moving from standardized products quoted on futures‐style markets, towards customized products traded on over‐the‐counter markets, the issue of counterparty risk evaluation has increasingly gathered momentum and is now one of the hot topics in option pricing theory. The corresponding options are named vulnerable.

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.

Risk capital is an important input for management functions. Capital structure decisions, capital budgeting, and ex post performance measurement require different measures of risk capital. While it has become common to estimate risk capital using VaR models, it is not clear that VaR‐based capital estimates are optimal for applications to management functions (e.g. risk management, capital budgeting, performance measurement, or regulation). This article considers three typical problems that require an estimate of credit risk capital: an optimal equity capital allocation; an optimal capital allocation for capital budgeting decisions; and an optimal capital allocation to remove moral hazard incentives from a compensation contract based on ex post performance. The optimal credit risk capital allocation is different for each problem and is never consistent with a credit VaR estimate of unexpected loss. The results demonstrate that the optimal risk capital allocation depends on the objective.

The chapter studies strategic default using an experimental approach.

The experiment considers a stochastic asset process and a loan with no down-payment. The treatments are two asset volatilities (high and low) and the absence and presence of social interactions via a direct effect on the subject's payoff.

I demonstrate that (i) people appear to follow the prediction of the strategic default model quite closely in the high asset volatility treatment, and that (ii) incorporating social interactions delays the strategic default beyond what is considered optimal.

The study tests adequately the strategic default using a novel experimental design and analyzes the neighbor's effect on that decision.

This paper presents the first known non‐proprietary empirical examination of the relationship between Commercial Mortgage Backed Security (CMBS) pricing. CMBS prices are examined as a function of the “moneyness” of the default option, the age of the security, the interest rate, interest rate volatility, property price volatility, amortization features and yield curve slope utilizing a proprietary data set of monthly prices on 40 CMBS securities. We find that though the senior tranche CMBS in the sample are effectively immune from default loss per se, they are not immune from early return of principal and resulting duration shift implied by increasing default probabilities. Thus, they behave very much like residential mortgage backed securities in that discount security prices are positively related to explanatory variables associated with potential shifts in duration. As a result, senior tranche CMBS prices increase with explanatoryd factors that raise the likelihood of default such as property volatility and loan to value ratio whereas CMBS prices decrease with variables that lower default probability such as amortization. These empirical results fit well with existing theoretical models of multi‐tranche CMBS pricing and models of commercial mortgage default and suggest that senior tranche CMBS may embody elements of risk that justify their seemingly rich spreads to similar duration corporate securities.

This study aims to explore the effect of two digital nudging technologies that is overt digital nudging (ODN) and covert digital nudging (CDN), on consumers’ choices of nudged options in the context of online customization systems (OCS).

This paper designed a 2 (ODN: yes/no) by 2 (CDN: yes/no) full factor between-subject lab experiment in the context of online travel package customization. This paper collected and analyzed the number of nudged options (the intermediate options) of choices among consumers in these four scenarios.

ODN and CDN have positive effects on consumers’ choices of nudged options in online customization (OC). In addition, mixed nudge (a combination of ODN and CDN) has a more significant effect on consumers’ choices of nudged options in OC than using CDN only.

This study focused only on the choice behavior of consumers in the customization context and did not analyze their attitude change. The present study used vendor recommendation as the proxy variable of ODN and default option as the proxy variable of CDN. A future study could explore other instances of ODN and CDN.

This study explores the effects of digital nudging technologies in the context of OCS. The study provides clear guidance for customization vendors on whether to use digital nudging tools and their combinations, and which tools should be preferred.

Vendors can adopt digital nudging technology to persuade consumers to choose nudged options. This nudging effect can make consumers’ choices predictable and less uncertain, thus adding profits for vendors.

First, the study focuses on the impact of digital nudging on consumers’ choices and enriches the understanding of the impact of customization system design on consumers’ choices. Second, this paper put forward a new classification method for digital nudging and proposed, respectively, the effect mechanisms on consumers’ customization choices. Third, this study explores the effect of combining multiple nudging tools in OC context on consumers’ choices, which deepens the understanding of the interactive effects of different types of nudging tools.