谈谈以实物资产、无形资产出资的验证

一、投入的实物资产和无形资产应与生产经营范围相符 验证时要考虑企业章程或营业执照中规定的生产经营范围,核查其投入的实物资产和无形资产等是否与生产经营范围所需相符,如果与企业生产经营范围严重不符的实物资产或无形资产,即使股东之间认可且订有出资协议,一般也不能作为出资.     

The pricing of Bermudan-style options on correlated assets

In this paper, we present a methodology for approximating a correlated multivariate-lognormal process with a recombining or “simple” multivariate-binomial process. The method represents an extension and implementation of previous work by Nelson and Ramaswamy (1990) and Ho, Stapleton and Subrahmanyam (1995) on diffusion approximation. The general method is illustrated by pricing a Bermudan-style put option on the minimum of three asset prices, and by pricing Bermudan-style options on bonds, where the value of the bond at a point in time depends upon the interest rate in two currencies and the foreign exchange rate. This type of structure, known as the “Power Reverse Dual” is a popular product in the case of Japanese Yen-US Dollar currencies. This revised version was published online in June 2006 with corrections to the Cover Date.     

The IMF in a world of private capital markets

In analyzing the IMF attempts to stabilize private capital flows, we contrast cases where banks and bondholders do the lending. Consistent with banks’ natural advantage in monitoring, they reduce spreads as they obtain more information through repeat transactions with borrowers. By comparison, repeat borrowing has little influence in bond markets, where publicly-available information dominates. But spreads on bonds are lower when they are issued in conjunction with an IMF-supported program, as if the existence of a program conveys positive information to bondholders. The influence of IMF monitoring in bond markets is especially pronounced for countries vulnerable to liquidity crises.     

The evolution of capital asset pricing models

The capital asset pricing models (CAPM) has been the benchmark of asset pricing models and has been used to calculate asset returns and the cost of capital for more than four decades. Many researchers have tried to relax the original assumptions and generalize the static CAPM. We survey the important alternative theoretical models of capital asset pricing and provide a complete review of the evolution of asset pricing models. We also discuss the interrelationships among these models and suggest several possible directions for future research. Our results might be used as a guideline for future theoretical and empirical research in capital asset pricing.     

The pricing of risky assets on the Belgian stock market

This paper presents the first empirical examination of the relationship between the average return and the risk of a comprehensive sample of 200 securities which traded continuously from 1966 to 1980 on the Brussels Stock Exchange, a relatively thin equity market. Based on our empirical findings, we cannot reject the hypothesis that the pricing of common stocks on the Brussels Stock Exchange conforms to the Capital Asset Pricing Model.     

Exposure to the world and trading-bloc risks: A multivariate capital asset pricing model

This paper employs a capital asset pricing model that incorporates both world and trading-bloc factors to show that the recent trend of trade regionalism has led to segmentation of world stock markets. The model is developed within a multivariate GARCH framework. The conditional time-varying betas are derived to examine the dynamics of risk exposures to the world and trading-bloc factors. The results show risk exposure behaviour that is not revealed using static risk estimates.     

Stock exchange seats as capital assets

Stock exchange seats are important assets for securities brokers since they provide access to centralized secondary trading markets for corporate securities at a reduced cost. This paper provides empirical evidence on the dynamic behavior of monthly New York and American Stock Exchange seat prices over the 1926–1972 period. Specifically, evidence is presented which: (a) is consistent with a multiplicative random walk model for seat prices; (b) indicates that unexpected changes in the prices of exchange-listed stocks or in the volume of shares traded on the exchange are important new information about the value of seats in each month; and (c) indicates that the market for seats is efficient in assimilating new information and quickly incorporates new information into the prices of seats. In addition, we examine the effect of the infrequent trading of seats on the statistical properties of the models.     

Information and capital asset pricing

Investors in a market frequently update their diverse perceptions of the values of risky assets, thus invalidating the classic capital asset pricing model's (CAPM) assumption of complete agreement among investors. To accommodate information asymmetry and belief updating, we have developed an empirically testable information-adjusted CAPM, which states that the expected excess return of a risky asset/portfolio is solely determined by the information-adjusted beta rather than the market beta. The model is then used to analyze empirical anomalies of the classic CAPM, including a flatter relation between average return and the market beta than the CAPM predicts, a non-zero Jensen's alpha, insignificant explanatory power of the market beta, and size effect.     

The capital asset pricing model as a general equilibrium with incomplete markets

We recast the capital asset pricing model (CAPM) in the broader context of general equilibrium with incomplete markets (GEI). In this setting we give proofs of three properties of CAPM equilibria: they are efficient, asset prices lie on a security market line, and all agents hold the same two mutual funds. The first property requires a riskless asset, the latter two do not. We show that across all GEI only one of these three properties of equilibrium is generally valid: asset prices depend on covariances, not variances. We extend CAPM to many consumption goods in such a way that all three properties hold. But now the definition of a riskless asset depends on preferences and endowments, and so cannot be specifieda priori.We wish to acknowledge assistance of NSF Grant No. 88-12051, and a referee's comments. We are grateful for conversations with H. Polemarchakis, especially concerning Section II.4.     

The St. Petersburg paradox and capital asset pricing

Durand (J Finance 12:348–363, 1957) shows that the classical St. Petersburg paradox can apply to the valuation of a firm whose dividends grow at a constant rate forever. To capture a more realistic pattern of dividends, we model the dividend growth rate as a mean reverting process, and then use the capital asset pricing model to derive the risk-adjusted present value. The model generates an equivalent St. Petersburg game. The long-run growth rate of the payoffs (dividends) is dominant in driving the value of the game (firm), and the condition under which the value is finite is less restrictive than that of the standard game.     

The equilibrium pricing of exchange rates and assets when trade takes time

When trade takes time, there are systematic deviations of the exchange rate from its Law of One Price value; these depend on the real interest rate in terms of the importable good. There is no systematic tendency for the spot rate to attain its LOP value in the long run. This means that agents in different countries price the same cash flows by using different risk premia, with agents in the ‘foreign’ country pricing the asset by adding a risk premium related to foreign exchange risk.     

A liquidity-augmented capital asset pricing model

Using a new measure of liquidity, this paper documents a significant liquidity premium robust to the CAPM and the Fama–French three-factor model and shows that liquidity is an important source of priced risk. A two-factor (market and liquidity) model well explains the cross-section of stock returns, describing the liquidity premium, subsuming documented anomalies associated with size, long-term contrarian investment, and fundamental (cashflow, earnings, and dividend) to price ratios. In particular, the two-factor model accounts for the book-to-market effect, which the Fama–French three-factor model fails to explain.     

Multi-regime nonlinear capital asset pricing models

A multiple-regime threshold generalized autoregressive conditionally heteroskedastic capital asset pricing model is introduced. The model captures asymmetric risk through allowing market beta to change discretely between regimes that are driven by market information. Asymmetric volatility and mean equation dynamics are also captured. We confirm the time-varying nature of market risk, in response to changes in the market, and that this discrete time variation can differ across assets. These findings could have important implications for optimizing investment decisions: e.g. in risk assessment, portfolio selection and hedging decisions.     

Loan pricing under Basel capital requirements

We analyze the loan pricing implications of the reform of bank capital regulation known as Basel II. We consider a perfectly competitive market for business loans where, as in the model underlying the internal ratings based (IRB) approach of Basel II, a single risk factor explains the correlation in defaults across firms. Our loan pricing equation implies that low risk firms will achieve reductions in their loan rates by borrowing from banks adopting the IRB approach, while high risk firms will avoid increases in their loan rates by borrowing from banks that adopt the less risk-sensitive standardized approach of Basel II. We also show that only a very high social cost of bank failure might justify the proposed IRB capital charges, partly because the net interest income from performing loans is not counted as a buffer against credit losses. A net interest income correction for IRB capital requirements is proposed.     

Estimating the cost of capital with basis assets

Instead of using industry groups or asset pricing models to estimate the cost of capital we propose using risk equivalent classes known as basis assets. A basis asset is constructed by grouping firms together whose returns indicate they share a common risk exposure, which in theory permits a precise and accurate expected return estimate. Thus, knowing to which basis asset a firm belongs, the firm’s cost of capital can be obtained. Empirically, we show that basis assets lead to superior cost of capital estimates when compared with widely used industry groupings. This means we are no longer reliant on asset pricing models or industry groups to estimate the cost of capital of a firm.     

The intertemporal capital asset pricing model with dynamic conditional correlations

The intertemporal capital asset pricing model of Merton (1973) is examined using the dynamic conditional correlation (DCC) model of Engle (2002). The mean-reverting DCC model is used to estimate a stock’s (portfolio’s) conditional covariance with the market and test whether the conditional covariance predicts time-variation in the stock’s (portfolio’s) expected return. The risk-aversion coefficient, restricted to be the same across assets in panel regression, is estimated to be between two and four and highly significant. The risk premium induced by the conditional covariation of assets with the market portfolio remains positive and significant after controlling for risk premia induced by conditional covariation with macroeconomic, financial, and volatility factors.     

Divisional performance measurement and transfer pricing for intangible assets

This paper examines the effectiveness of three transfer pricing methodologies for an intangible asset that is developed through bilateral, sequential investment. In general, a royalty-based transfer price that can be renegotiated provides better investment incentives than either a non-negotiable royalty-based transfer price or a purely negotiated transfer price, and in some cases induces first-best investment. This result contrasts with previous research that finds that the inability to limit renegotiation of initial contracts reduces investment efficiency. Further, I examine how tax transfer pricing rules inform optimal internal transfer prices when the firm decouples internal and external transfer prices.     

Time preference and capital asset pricing models

Results of the theory of individual optimal consumption-investment choice under uncertainty are extended to a class of intertemporally dependent preferences for consumption streams. These results are then used to show that with intertemporally dependent preferences, which are more realistic than the separable time-additive preference structure, Merton's (1973) multi-beta intertemporal capital asset pricing model is still valid, but it can no longer be collapsed to Breeden's (1979) single consumption-beta model.     

A semiparametric conditional capital asset pricing model

This paper proposes using a functional coefficient regression technique to estimate time-varying betas and alpha in the conditional capital asset pricing model (CAPM). Functional coefficient representation relaxes the strict assumptions regarding the structure of betas and alpha by combining the predictors into an index. Appropriate index variables are selected by applying the smoothly clipped absolute deviation penalty. In such a way, estimation and variable selection can be done simultaneously. Based on the empirical studies, the proposed model performs better than the alternatives in explaining asset returns and we find no strong evidence to reject the conditional CAPM.