Annals of Finance最新文献

This paper investigates a multivariate, dynamic, continuous-time optimal consumption and portfolio allocation problem when the investor faces recursive utilities. The economy we are considering is described through both diffusion and discontinuities in the dynamics. We derive an approximated closed-form solution to optimal rules by exploiting standard dynamic programming techniques. Our findings are manifold. First, we obtain dynamic optimal weights, inversely proportional to volatility. Second, we show that both co-jumps frequency and intensity play a crucial role, as they considerably limit potential losses in the investors’ wealth. Third, we prove that jumps in precision reinforce the effect of jumps in price, further reducing optimal allocation. Finally, we highlight how co-jumps may influence investors’ choices regarding intertemporal consumption.

Corporations are modeled as owning a perpetual derivative security that has a claim on future cash flows. The cash flows are defined by deterministic functions of state variables. In a time homogeneous and Markovian context the value of a corporation is then given by a deterministic function of the state variables termed the corporate valuation function. This valuation function solves an integro differential equation with a boundary condition of zero at infinity. Solutions are illustrated in dimensions one, two and ten. It is observed that for positive and bounded cash flow functions the valuation functions cannot be linear. The attitude of a corporation to risk then depends on the nonlinearity. In higher dimensions the corporation will be a risk taker in some directions and simultaneously a risk avoider in others. The valuation theory also leads to new asset pricing equations inferring asset variations from risk neutral covariations. The shift from mean returns and covariances is necessitated by the focus on instantaneous risk exposures represented by measures replacing probabilities.

This manuscript addresses the issue, particularly interesting for a conglomerate firm, of the choice of the optimal financing method (namely, the most efficient one) between the joint one and the separate one. In particular, the authors identify the properties of the optimal financing contract for three investment projects under the assumptions of the literature on Costly State Verification (CSV), namely, uncorrelated returns, hidden information (the return of a single project is a borrower’s private information), lender performing sequential audit and residual claimant borrower. The authors’ research method consists of solving the optimization problem of the borrower’s expected utility subject to appropriate incentive constraints and the lender’s participation constraint. The novelty of this contribution is the demonstration that joint financing with return pooling between the high and low states is more efficient than separate financing, as it implies a lower expected audit cost for the lender and, if the investment cost is not too high, also less credit rationing for the borrower. Joint financing with return pooling between the intermediate and low states, instead, is found to be less efficient than separate financing in terms of expected audit cost and, in the presence of sufficiently high investment cost, also credit rationing.

This study proposed and evaluated a new insurance product, i.e., the variable annuity product, accompanied by the health status and the guaranteed lifelong withdrawal benefit (GLWB). Due to specific problems, the insurance sector is now one of the riskiest industries. The aging of the population and rising medical service costs as a result of technological advancements are to blame for this. Thus one of the most basic needs in the health insurance sector is to design an innovative product. In this article, a mixed discrete-continuous time model is proposed to calculate the fair fee of the product, calculated using equilibrium condition between premium and benefits. We considered constant volatility and rate of interest along with health status benefits and hospitalization coverage. For an illustration of the capability of this product and some possible improvements in the product, a numerical study, and sensitivity analysis have been conducted. The results showed that the withdrawal amount and age have a significant impact on the cost. A rise in the initial insured age and withdrawal amount increases the fair fee of the product. The GLWB rider’s guaranteed amount and medical expenses are included in the withdrawal amount.

The degree of uncertainty associated with the value of a company plays a relevant role in valuation analysis. We propose an original and robust methodology for company market valuation, which replaces the traditional point estimate of the conventional Discounted Cash Flow model with a probability distribution of fair values that convey information about both the expected value of the company and its intrinsic uncertainty. Our methodology depends on two main ingredients: an econometric model for company revenues and a set of firm-specific balance sheet relations that are estimated using historical data. We explore the effectiveness and scope of our methodology through a series of statistical exercises on publicly traded U.S. companies. At the firm level, we show that the fair value distribution derived with our methodology constitutes a reliable predictor of the company’s future abnormal returns. At the market level, we show that a long-short valuation (LSV) factor, built using buy-sell recommendations based on the fair value distribution, contains information not accessible through the traditional market factors. The LSV factor significantly increases the explanatory and the predictive power of factor models estimated on portfolios and individual stock returns.

This study aims to compare the market value of private firms and publicly listed small and medium-sized firms (SMEs) in alternative stock markets through a private discount approach with estimates of value based on discounted cash flow projections and along with a comparable multiples approach. The valuation methodology applied in this study yielded a final sample that included 232 observations between public and private companies in the Spanish market. To calculate the discount, we apply the different approaches of discounted cash flow and multiples, such as valuation, earnings, book value, and revenue. Our results conclude there is no private discount, instead, the outcomes of this article suggest a premium over public firms for some ratios. The negative private company discounts mean a premium and, on the other hand, some multiples suggest a discount according to the method of valuation. This paper proves private discounts resulted does not have any comparable value within the same country although all firms in Spain use the same currency. We value the discounted cash flows of our forecasts using a discount rate based on the Capital Asset Pricing Model (CAPM), so our study can also be viewed as a test sensitivity of CAPM-based approaches to equity risk premium, terminal value, and growth rate. Furthermore, we compare historical transaction multiples of privately held companies with transaction multiples of similar publicly held firms.

In this paper, we analyze Drawdown-based risk measures for an equity portfolio with high-frequency data. The returns of individual stocks are modeled through multivariate weighted-indexed semi-Markov chains with a copula dependence structure. Through this recently published model, we show that the estimate of Drawdown-based risk measures is more faithful than that obtained with the application of classic econometric models.

The framework of this paper is behavioral finance and, more specifically, the analysis of the main anomalies (delay, magnitude and sign effects) present in the processes of intertemporal choice. To the extent of our knowledge, only the delay effect (also known as decreasing impatience) has been discriminated between moderately and strongly decreasing impatience. However, taking into account that anomalies must be explained from a psychological point of view, the main objective of this paper is to relate the aforementioned paradoxes with the four categories of temperaments (artisan, guardian, idealist and rational) by using the sixteen personality types derived from the Myers–Briggs Type Indicator and the Behavioral Investor Types. To do this, we will use the Analytic Hierarchy Process methodology in order to detect the different levels of impatience through the so-called hyperbolic factor. Indeed, the main contribution of this paper refers to an empirical application which complements the theoretical analysis.

Microfinance rapidly developed and commercialized, exacerbating competition and the attention paid to profits. In response, many governments have capped microcredit interest rates. Using unique data on interest rate caps and a dataset comprising 1115 microfinance institutions over 2015–2018, we investigate the effect of such regulatory measures on loan sizes, with fixed-effect and two-stage residual inclusion regressions. Going further with a moderation analysis and multiple measurements of competition, we investigate whether market conditions affect this relationship. We find that microfinance institutions facing interest rate caps are associated with larger loans and financial exclusion, and that competition emphasizes this adverse effect. We suggest two mechanisms explaining such results: the deterioration of cross-subsidization possibilities and the exacerbation of risk-taking strategies of microfinance institutions, both favored by competition. Therefore, we argue against interest rate restrictions, and for the adoption of a more systemic analysis of regulatory outcomes integrating market conditions.

This paper studies the effects that connectivity and centralisation have on the response of interbank networks to external shocks that generate phenomena of default contagion. We run numerical simulations of contagion processes on randomly generated networks, characterised by different degrees of density and centralisation. Our main findings show that the degree of robustness-yet-fragility of a network grows progressively with both its degree of density or centralisation, although at different paces. We also find that sparse and decentralised interbank networks are generally resilient to small shocks, contrary to what so far believed. The degree of robustness-yet-fragility of an interbank network determines its propensity to generate a too-many-to-fail problem. We argue that medium levels of density and high levels of centralisation prevent the emergence of a too-many-to-fail issue for small and medium shocks whilst drastically creating the problem in the case of large shocks. Finally, our results shed some light on the actual robustness-yet-fragility of the observed core-periphery national interbank networks, highlighting the existing risk of systemic crises.