折旧方法、心理感知和资本投资决策研究

本文采用模拟实验的方式通过问卷调查研究企业折旧方法、心理感知和管理者资本投资决策的关系机理。为此,进行了如下试验：管理者必须决定是继续使用现有的资产还是重置资产。研究结果表明：一、固定资产采取直线折旧法比采用加速折旧法被重置的可能性要小些。二、使用直线法折旧的资产比使用加速法折旧的资产所提供的追溯效用要小。三,由折旧方法引起的管理者追溯效用感知差异影响他们的预期效用感知,进而影响管理者的资产重置决策,心理感知在折旧方法和资本投资决策之间起部分中介作用。     

Explaining Underutilization of Tax Depreciation Deductions: Empirical Evidence from Norway

Many corporations do not claim all of their allowable tax depreciation deductions. Intuitively, this kind of behavior might seem odd. However we propose several possible explanations. First, we find strong evidence that firms facing current tax losses or carrying forward past losses underutilize depreciation in order to recover tax losses before they expire. Second, corporations with bad economic performance tend to underutilize their deductions, suggesting that corporations use costly windowdressing on their accounting measures. Third, we find support for the hypothesis that tax compliance costs discourage the utilization of accelerated depreciation, especially by small firms. We do not find much support for other hypotheses. For example, we find no evidence of substitution between tax depreciation and private debt due to competition between the benefits of private bank monitoring and the tax savings from using tax allowances to postpone tax payments, as suggested in earlier literature. We also study the effects of the uniform reporting accounting system (typical of many European countries) which can, under certain circumstances, constrain dividends. Forgoing some tax depreciation can loosen the dividend constraint, but the evidence does not support this motivation. Unusual access to extremely detailed individual firm tax return forms in Norway made our empirical analysis possible. In addition, the 1992 Norwegian tax reform provided a natural experiment for testing some of the hypotheses. We use the time-series and cross-sectional variation across Norwegian corporations in 1988, 1991, 1992 and 1993.     

A New Approach to Depreciation

This paper presents a new 'matching' based approach to depreciation that incorporates interest adjustments and generates accounting measurements that are consistent with the ex post Net Terminal Values of fixed assets. The method has been developed from the concept of Earned Economic Income by the application of concepts drawn from the existing literature. The calculations and ledger entries involved are illustrated in the appendices.     

Evidence on the Usefulness of Capital Expenditures as an Alternative Measure of Depreciation

Investment professionals often suggest that accounting earnings is a more useful indicator of share value if adjusted by substituting current capital expenditures for reported depreciation. We investigate the usefulness of this alternative depreciation measure by comparing the ability of reported earnings and adjusted earnings to explain the cross-sectional distribution of stock prices for a large sample of manufacturing firms. We find that adjusted earnings explains a much smaller fraction of the variation in share prices than earnings based on reported depreciation, and provide evidence on the reasons for this difference.     

Pricing Options under Stochastic Interest Rates: A New Approach

We will generalize the Black-Scholes option pricing formula by incorporating stochastic interest rates. Although the existing literature has obtained some formulae for stock options under stochastic interest rates, the closed-form solutions have been known only under the Gaussian (Merton type) interest rate processes. We will show that an explicit solution, which is an extended Black-Scholes formula under stochastic interest rates in certain asymptotic sense, can be obtained by extending the asymptotic expansion approach when the interest rate volatility is small. This method, called the small-disturbance asymptotics for Itô processes, has recently been developed by Kunitomo and Takahashi (1995, 1998) and Takahashi (1997). We found that the extended Black-Scholes formula is decomposed into the original Black-Scholes formula under the deterministic interest rates and the adjustment term driven by the volatility of interest rates. We will illustrate the numerical accuracy of our new formula by using the Cox–Ingersoll–Ross model for the interest rates.     

Numerical Approach to Asset Pricing Models with Stochastic Differential Utility

In this paper employing two heuristic numerical schemes, we study the asset pricing models with stochastic differential utility (SDU), which is formulated by either of backward stochastic differential equations (BSDEs) or forward-backward stochastic differential equations (FBSDEs).The first scheme is based upon a traditional lattice algorithm of option pricing theories, involving the discretization scheme of coupled FBSDEs, which is combined with a technique of solving numerically a certain type of nonlinear equations with respect to the backward state variables. The second one is based upon the four step scheme of Ma et al. (1994) which solves quasi-linear partial differential equations associated with the FBSDEs. We demonstrate that our practical implementation algorithms can successfully solve the asset pricing models with generalized SDU and the large investor problem with market impact which are typical examples such that the usual four step scheme is difficult to implement. As other numerical applications we study the optimal consumption and investment policies of a representative agent with SDU, and the recoverability of preferences and beliefs from observed consumption data.     

Stochastic Depreciation and Optimal Consumption-Investment Decisions

Capital accumulation is viewed as the net outcome of accumulation and wasting. Accumulation is modelled by a Gaussian process whilst wasting is generated by a continuous time and continuous state-space pseudo-Poisson process. These assumptions imply that an economic agent's preferences, consumption, capital accumulation and wastage are governed by a form of Hamilton-Jacobi-Bellman equation containing an infinite number of terms. We demonstrate the optimisation procedures applicable to consumption and the expected wastage of capital and in the process show that isoelastic preferences are consistent with the model.     

加速折旧企业所得税政策与实体企业金融化——基于2014年固定资产加速折旧政策的准自然实验

本文选择2011-2017年我国沪深上市实体企业的样本数据,以2014年固定资产加速折旧所得税政策的出台为准自然实验,采用双重差分法实证检验了固定资产加速折旧政策对实体企业金融化行为的影响。研究发现,固定资产加速折旧政策出台带来的所得税抵税收益在提升实体企业固定资产和无形资产等实业投资的同时,会提升实体企业金融化水平。进一步研究发现,固定资产加速折旧政策的出台仅对现金流较贫乏、非国有企业、成长性较高以及规模较小的实体企业的金融化水平具有显著促进作用。研究结论不仅能够丰富企业金融化的理论研究,还有助于税务监管部门进一步调整优化固定资产加速折旧政策及相关配套税收政策,以便更好地防范、化解脱实向虚风险,促进实体企业高质量发展。     

会计之资产负债表债务法探讨

随着兼容多种计量属性、以资产负债表为重心的新<企业会计准则>的实施,会计与税法的游戏规则渐行渐远,会计所得与应税所得的差异即所得税会计差异日益扩大,如何顺利地实现二者的衔接与协调,不仅关系到会计信息的质量,也关系到企业所得税的缴纳与征收.     

Inference Methods for Discretely Observed Continuous-Time Stochastic Volatility Models: A Commented Overview

In this paper an overview of inference methods for continuous-time stochastic volatility models observed at discrete times is presented. It includes estimation methods for both parametric and nonparametric models that are completely or partially observed in a variety of situations where the data might be nonlinear functions of the components of the model and/or contaminated with observation noise. In each case, the main reported methods are presented, making emphasis on underlying ideas, theoretical properties of the estimators (bias, consistency, efficient, etc.), and the viability of their implementation to solve actual problems in finance.     

Interest Rate Derivatives in a Duffie and Kan Model with Stochastic Volatility: An Arrow-Debreu Pricing Approach

Simple analytical pricing formulae have been derived, by different authors and for several derivatives, under the Gaussian Langetieg (1980) model. The purpose of this paper is to use such exact Gaussian solutions in order to obtain approximate analytical pricing formulas under the most general stochastic volatility specification of the Duffie and Kan (1996) model. Using Gaussian Arrow-Debreu state prices, first order stochastic volatility approximate pricing solutions will be derived only involving one integral with respect to the time-to-maturity of the contingent claim under valuation. Such approximations will be shown to be much faster than the existing exact numerical solutions, as well as accurate.     

Good-Deal Option Price Bounds for a Non-Traded Event with Stochastic Return: A Note

Cochrane and Sa'a-Requejo (2000, Journal of Political Economy) proposed the good-deal price bounds for the European call option on an event that is not a traded asset, but is correlated with a traded asset that can be used as an approximate hedge. One remarkable feature of their model is that the return on an event process explicitly appears in the option price bounds formula, which offered a contrast with the standard option pricing model. We show that the good-deal option price bounds on a non-traded event are obtained as a closed-form formula, when the return on an event is governed by a mean reverting process.     

Volatility Spillover in Regional Emerging Stock Markets: A Structural Time-Series Approach

Volatility spillovers among the stock markets of Bahrain, Kuwait, and Saudi Arabia are investigated using the concept of stochastic volatility and structural time-series modeling. The results reveal volatility spillovers, in which the Kuwait market plays the major role. It is also found that volatility in one market cannot be explained fully in terms of volatility in the other two markets, but that, out of the three markets, the Kuwait market seems to be the most influential. Some explanations are put forward for why this is the case.     

A Stochastic Receding Horizon Control Approach to Constrained Index Tracking

This paper develops stochastic receding horizon control for a constrained index tracking problem. By modeling the asset dynamics in the problems as a linear system subject to state and control multiplicative noise, and approximating linear chance constraints with quadratic expectation constraints, we show that index tracking can be approached using stochastic receding horizon control. In particular, we use a closed loop version of stochastic receding horizon control where the on-line optimization is solved as a semi-definite program. Numerical examples demonstrate the computations involved in these problems and indicate that stochastic receding horizon control is a promising new approach to constrained index tracking. C. H. Sung completed this work while he was a graduate student in the Management Science and Engineering Department, Stanford University.     

A Complete Markovian Stochastic Volatility Model in the HJM Framework

This paper considers a stochastic volatility version of the Heath, Jarrow and and Morton (1992) term structure model. Market completeness is obtained by adapting the Hobson and Rogers (1998) complete stochastic volatility stock market model to the interest rate setting. Numerical simulation for a special case is used to compare the stochastic volatility model against the traditional Vasicek (1977) model.     

Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates

This paper specifies a multivariate stochasticvolatility (SV) model for the S & P500 index and spot interest rateprocesses. We first estimate the multivariate SV model via theefficient method of moments (EMM) technique based on observations ofunderlying state variables, and then investigate the respective effects of stochastic interest rates, stochastic volatility, and asymmetric S & P500 index returns on option prices. We compute option prices using both reprojected underlying historical volatilities and the implied risk premiumof stochastic volatility to gauge each model's performance through direct comparison with observed market option prices on the index. Our major empirical findings are summarized as follows. First, while allowing for stochastic volatility can reduce the pricing errors and allowing for asymmetric volatility or leverage effect does help to explain the skewness of the volatility smile, allowing for stochastic interest rates has minimal impact on option prices in our case. Second, similar to Melino and Turnbull (1990), our empirical findings strongly suggest the existence of a non-zero risk premium for stochastic volatility of asset returns. Based on the implied volatility risk premium, the SV models can largely reduce the option pricing errors, suggesting the importance of incorporating the information from the options market in pricing options. Finally, both the model diagnostics and option pricing errors in our study suggest that the Gaussian SV model is not sufficientin modeling short-term kurtosis of asset returns, an SV model withfatter-tailed noise or jump component may have better explanatory power.     

A New Stochastic Duration Based on the Vasicek and CIR Term Structure Theories

The stochastic duration based on the Vasicek and CIR models is theoretically superior to Macaulay's duration. However, empirical tests on bond immunization performance have so far failed to show its superiority. Within the one-factor framework, this paper proposes to use a longer zero-curve yield instead of the original instantaneous interest rate as a proxy for the relevant risk source(s). We prove that the new duration becomes larger, increasing with bond maturity, than the original duration. Bond immunization using Belgian data shows that the new duration definitely beats the original duration and can in some cases outperform Macaulay's duration.     

Assessing the Real Estate Pricing Puzzle: A Diagnostic Application of the Stochastic Discounting Factor to the Distribution of REIT Returns

This article applies a general asset-pricing framework and the volatility bounds methodology of Hansen and Jagannathan (1991) to REIT returns. The state of real estate asset pricing remains somewhat of a puzzle relative to the identification of state variables and the structural form of models. This article offers a framework whereby real estate asset-pricing models and data can be diagnosed to answer questions about the shortcomings. In addition, several nominated discount processes are investigated for success in pricing real estate securities. Although the nominated specifications demonstrate some success in satisfying the restrictions on the first and second moments of the real estate returns distribution, they do not successfully price the securities under a no-arbitrage condition. This result calls into question previous real estate performance studies that employ these risk-adjustment processes.     

Modelling the Stochastic Dynamics of Volatility for Equity Indices

The paper develops a class of continuous timestochastic volatility models, which generate asset price returnsthat are approximately Student t distributed. Using thecriterion of local risk minimisation in an incomplete marketsetting, option prices are computed. It is shown that impliedvolatility smile and skew patterns of the type often observed inthe markets can be obtained from this class of stochasticvolatility models.