Annals of Finance最新文献

Can prices convey information about the fundamental value of an asset? This paper considers this problem in relation to the dynamic properties of the fundamental (whether it is constant or time-varying) and the structure of information available to agents. Risk-averse traders receive two potential signals each period: one exogenous and private and the other, prices, endogenous and public. Prices aggregate private information but include aggregate noise. Information can accumulate over time both through endogenous and exogenous signals. With a constant fundamental, the precision of both private and public cumulative information increases over time but agents put progressively more weight on the endogenous signals, asymptotically disregarding private ones. If the fundamental is time-varying, the use of past private signals complicates the role of prices as a source of information, since it introduces endogenous serial correlation in the price signal and cross-correlation between it and innovations in the fundamental. A modified version of the Kalman filter can still be used to extract information from prices and results show that the precision of the endogenous signals converges to a constant, with both private and public information used at all times.

We study the optimal capital budgeting policy of a firm taking into account the choice between internal and external financing. The manager can dedicate effort either to increase short-term profitability, thus generating greater immediate cash-flow, or to improve long-term perspectives. When both types of effort are observable, low productivity firms end up using internal funds, while high productivity firms use external capital markets. When effort to boost short-term cash flow is observable, while effort to boost long-term profitability is not, non-monotonic policies may be optimal. In such cases financing switches back and forth between internal and external funds as the quality of the project increases.

This study examines the role of market efficiency on international differences in the usefulness of the implied cost of capital (ICC) to measure expected stock returns. The analysis exploits cross-country differences in market efficiency around the world using a variety of empirical measures of market efficiency. A key methodological contribution of this paper is to assess the quality of the ICC as estimate of expected returns by evaluating its forecast error for subsequent stock returns. The results show that the accuracy of the ICC as measure of expected stock returns is positively associated with the countries’ level of market efficiency.

Studying the dynamics of deposits is important for three reasons: first, it serves as an important component of liquidity stress testing; second, it is crucial to asset-liability management exercises and the allocation between liquid and illiquid assets; third, it is the support for a Liquidity at Risk methodology. Current models are based on (textit{AR}(1)) processes that often underestimate liquidity risk. Thus, a bank relying on those models may face failure in an event of crisis. We propose an alternative approach for modeling deposits, using panel data and a momentum term. The model enables the simulation of a variety of deposit trajectories, including episodes of financial distress, showing much higher drawdowns and realistic liquidity at risk estimates, as well as density plots that present a wide range of possible values, corresponding to booms and financial crises. Therefore, this methodology is more suitable for liquidity management at banks, as well as for conducting liquidity stress tests.

Governments have created development banks in hopes of accelerating growth. Theoretical growth models that assess the pertinence of these banks are scarce and, none of them analyzes the implication of these banks under weak institutions and underdeveloped financial markets, which are two common problems in poor countries. This article studies the implications of subsidies to producers, a monopoly bank, or to a development bank, for the technology adoption and welfare in a Schumpeterian growth model in which creditors cannot completely eradicate moral hazard. I find that under these circumstances, the innovator will under-invest in research and, although subsidies contribute to a higher level of technology in the economy, they may harm the welfare of the working class. Subsidies to a development bank can be the most effective measure in terms of catching up with advanced economies, but this policy can be the most negative for the economic environment by diverting a large amount of resources from investment in research. Finally, this policy harms workers’ welfare when they finance the subsidy.

The purpose of this work is to develop an evolutionary finance model with a risk-free asset playing the role of a numeraire. The model describes a market where one risk-free and several “short-lived” risky assets (securities) are traded in discrete time. The risky securities live one period, yield random payoffs at the end of it, and then are re-born at the beginning of the next period. The main goal of the study is to identify investment strategies that make it possible for an investor to “survive” in the market selection process. It is shown that a strategy of this kind exists, is in a sense asymptotically unique and can be described by a simple explicit formula amenable for quantitative investment analysis.

We propose a new measure to establish price leadership among multiple related price series using a multivariate Markov chain model. This new measure, the price leadership share (PLS), can easily be calculated when price series are related but not fully cointegrated (e.g. there is a fractional cointegration and the unit root test fails) and with more than two price series simultaneously, offering advantages over the existing price discovery measures. In addition, we propose a price leadership concentration index to help the comparative analysis. The measure is tested on six gold contracts, including spot, futures, and ETF, with a global coverage over a 2-year period. Results show that gold futures contracts, mainly the US contract (CME futures), have a major role in the price discovery function confirming the previous literature’s findings. Overall, the PLS measure overcomes the limits of other existing price discovery measures.

We estimate default measures for US banks using a model capable of handling volatility clustering like those observed during the Global Financial Crisis (GFC). In order to account for the time variation in volatility, we adapted a GARCH option pricing model which extends the seminal structural approach of default by Merton (J Finance 29(2):449, 1974) and calculated “distance to default” indicators that respond to heightened market developments. With its richer volatility dynamics, our results better reflect higher expected default probabilities precipitated by the GFC. The diagnostics show that the model generally outperforms standard models of default and offers relatively good indicators in assessing bank failures.