Annals of Finance最新文献

We investigate whether and how strongly Basel 3 chief innovations jointly affected in different ways individual Eurozone banks’ stability (z-score) across six business models (BMs). We study this issue in the initial years when adaptation was most intense (2011–2014) and the Eurozone underwent a phase with sovereign crises abated by ECB policies easing financial conditions. In parallel, we run this exercise over 2000–2010 data, a time frame over which Basel 3 did not apply yet to see through the eyes of the regulator. Irrespective of BMs, we identify the leverage ratio as the most effective driver of banks’ stability. However, the impact on z-score of Basel 3 chief drivers does not seem to differ significantly on 2011–2014 vs. 2000–2010. Next, interactions with banks’ BMs suggest that Basel 3 innovations improve z-scores the most at traditionally focused banks (cooperative and savings banks), vis-à-vis diversified banks. Our results suggest Basel regulatory decisions were questionable. First, the front loading of the increased minimum capital requirements vs. the backloading of the leverage ratio phasing in may have lured banks from credit to financial assets. Second, our findings support the desirability of revising the current “one-size-fits-all” European prudential framework, which disregards BMs.

This paper studies the asset allocation problem for a retiree facing longevity risk and living standard risk. We introduce a risk capacity constraint to reduce the living standard risk in the retirement period. Whether the retiree focuses on intertemporal consumption or inheritance wealth, we demonstrate a unique number to measure the expected lump sum of the spending post-retirement. The optimal portfolio is nearly neutral to the stock market movement if the portfolio’s value is higher than this critical value; otherwise, the retiree actively invests in the stock market. As a comparison, we consider a dynamic leverage constraint and show that the corresponding optimal portfolio would lose significantly in stressed markets.

This paper analyzes the relation between commodity spot, forward prices, and convenience yield under incomplete markets. Since production is a necessary process for commodity markets, we include firms that use inputs and produce outputs in our model. Thus, we show a financial pricing model of spot and forward commodity in an explicit fashion with production under incomplete markets. One of the most important results of this paper is the difference between commodity spot and forward equilibrium price can be explained by the discounted shadow price of storage constraint minus the discounted marginal storage cost and it can be interpreted as the net convenience yield in the existing literature. Here the discounted factor is affected by the incompleteness of the markets. We prove the generic existence of the equilibrium and thus the obtained spot forward price relation is the equilibrium price formula. We also derive the firm’s optimal production plan and trading strategy.

This paper focuses on valuing R&D projects using a twofold compound real option by including two knock-out barriers. However, the valuation of R&D projects is not a simple task, since they are characterised by various risks and sequential decision-making. Specifically, we embed a double-barrier in the multi-stage real option in order to mitigate the risk of huge losses for the investor. In this way, our model incorporates the opportunity to abandon a project if its profitability falls below a benchmark level. We contribute to the existing literature in these ways: first we present a closed formula that allows evaluating this kind of project assuming the technical uncertainty of each research phase; secondly, we consider the scenario in which the volatility and the interest rate are both stochastic. Finally, we provide an application for a wind farm case.

We study the behavior of permutation-weighted portfolios, portfolios with weights that are proportional to a permutation of the current market weights. For markets with more than two assets, these portfolios are not functionally generated (except for the identity permutation), so we use rank-based methods to analyze their behavior. The reverse-wighted portfolio is the permutation-weighted portfolio with weights proportional to the market weights, but reversed by rank. We show that in a market represented by a first-order model with rank-symmetric variance parameters, the reverse-weighted portfolio will outperform the market portfolio over the long term. This result carries over to a commodity futures market with rank-based parameters similar to those of such a first-order model. In this market we find that the reverse-weighted portfolio outperforms the price-weighted market portfolio from 1977–2018.

We study the problem of dynamically trading multiple futures contracts on different underlying assets subject to portfolio constraints. The spreads between futures and spot prices are modeled by a multidimensional scaled Brownian bridge to account for their convergence at maturity. Under this stochastic basis model, we apply the stochastic control approach to rigorously derive the optimal trading strategies via utility maximization. This leads to the analysis of the associated system of Hamilton-Jacobi-Bellman equations, which are reduced to a system of ODEs. A series of numerical examples are provided to illustrate the optimal strategies and wealth distributions under different portfolio constraints.

This paper seeks to examine the unidirectional versus bidirectional Granger causality between investors’ sentiment and momentum strategies. It is based on the full sample Granger causality test and the recent rolling-window bootstrap approach. We also applied a probit model to the extent to which the probability that investors’ sentiment and momentum strategies influence each other. Our results suggest bidirectional Granger causality between investor sentiment and momentum strategy with unstable causality dynamics over time. We find that ADS and VIX positively affect the likelihood that investor sentiment Granger causes momentum strategy and negatively impact the probability that momentum strategy Granger causes investor sentiment. Gold harms the likelihood that investors’ sentiment and momentum strategies affect each other. The research design is unique to combine bootstrap rolling-window Granger causality tests between Sentiment and Momentum to assess investors’ implications in terms of confidence, uncertainty, aggressiveness, or optimism versus Pessimism.

Using data from Italian banks over the period 2011–2017, we study how negative interest rate policy and prudential regulation impact on bank business models. We report four key findings. First, banks shifted into retail- and market-oriented business models. Second, high- and low-deposit banks reduced loans and increased security/liquid assets; only market-oriented banks expanded lending. Third, interest rate income compression induced by negative rates has been substantial for the Italian banking system as a whole, although retail banks seem to have suffered less. Fourth, non-interest incomes played a compensatory effect. The portfolio reshuffling, as we observed for wholesale and retail banks (less lending and more securities/liquid assets), is related to the goal of reducing risk exposures and, in turn, the connected capital absorption required by prudential regulation.

This study explores the welfare implications of mitigating investment uncertainty in the context of Easley and O’Hara (Rev Financ Stud 22:1817–1843, 2009) While one may expect welfare gains by encouraging participation in financial markets by ambiguity-averse investors, we formally show that it hurts other investors and thus is not Pareto-improving without appropriate income transfers. We also examine the welfare effects of income redistribution among heterogeneous investors and government spending on investor education.