An Intertemporal General Equilibrium Model of Asset Prices with Labor Input

This paper develops the CIR model. In this model, labor is introduced in the production function and leisure in the direct utility function. We examine how the trade-off between labor and leisure would affect asset prices and derive a familiar principal partial differential equation which asset prices must satisfy. The solution of this equation gives the equilibrium price of any asset in terms of the underlying real variables in economy.

THE SPIRIT OF CAPITALISM, NON-EXPECTEDUTILITY AND ASSET PRICING

This paper investigates testable restrictions on the time-series behavior of consumption and asset returns implied by a representative agent model with the spirit of capitalism in which intertemporal preference is represented by a utility function that generalizes conventional, time-additive, expected utility. In the recursive structure of preference, the author examines the implication for cosumptions, portfolio holdings, and stock-market prices when investors accumulate wealth not only for the sake of consumption but also for wealth-induced social status. When investors care about relative social status, the propensity to consume and risk-taking behavior will depend on social standards, and stock prices will be volatible. Hence, the spirit of capitalism seems to be a driving force behind stock-market volatility and economic growth. Because the elasticity df substitution and the coefficient of relative risk aversion are independent and the spirit of capitalism is introduced, the equity premium puzzle can be partially explained in the model.

A new test on the conditional capital asset pricing model

Testing the validity of the conditional capital asset pricing model （CAPM） is a puzzle in the finance literature. Lewellen and Nagel[14] find that the variation in betas and in the equity premium would have to be implausibly large to explain important asset-pricing anomalies. Unfortunately, they do not provide a rigorous test statistic. Based on a simulation study, the method proposed in Lewellen and Nagel[14] tends to reject the null too frequently. We develop a new test procedure and derive its limiting distribution under the null hypothesis. Also, we provide a Bootstrap approach to the testing procedure to gain a good finite sample performance. Both simulations and empirical studies show that our test is necessary for making correct inferences with the conditional CAPM.

Some Financial Problems in the Light of EMM Results:Asset Pricing and Efficient Portfolio Allocation

Discussing results in asset pricing and efficient portfolio allocation,we show that mixed success and errors in these results often follow from a lack of information about the asset return distribution and wrong assumptions about its properties.Some mistakes in asset pricing come from the assumption of symmetry in return distributions.Some errors in efficient portfolio allocation follow from Markowitz’s approach when applying it to portfolio optimization of skewed asset returns.The Extended Merton model(EMM),generating skewed return distributions,demonstrates that(i)in skewed asset returns,the variance is not an adequate measure of risks and(ii)positive skewness in the asset returns comes together with a high default probability.Thus,the maximization of the mean portfolio returns and skewness with controlled variance used in mainstream papers can critically increase portfolio risks.We present the new settings of the optimal portfolio allocation problem leading to less risky efficient portfolios than the solutions suggested in all previous papers.

An impact assessment of the COVID‑19 pandemic on Japanese and US hotel stocks

This study proposes two new regime-switching volatility models to empirically analyze the impact of the COVID-19 pandemic on hotel stock prices in Japan compared with the US,taking into account the role of stock markets.The first model is a direct impact model of COVID-19 on hotel stock prices;the analysis finds that infection speed negatively affects Japanese hotel stock prices and shows that the regime continues to switch to high volatility in prices due to COVID-19 until September 2021,unlike US stock prices.The second model is a hybrid model with COVID-19 and stock market impacts on the hotel stock prices,which can remove the market impacts on regime-switching volatility;this analysis demonstrates that COVID-19 negatively affects hotel stock prices regardless of whether they are in Japan or the US.We also observe a transition to a high-volatility regime in hotel stock prices due to COVID-19 until around summer 2021 in both Japan and the US.These results suggest that COVID-19 is likely to affect hotel stock prices in general,except for the influence of the stock market.Considering the market influence,COVID-19 directly and/or indirectly affects Japanese hotel stocks through the Japanese stock market,and US hotel stocks have limited impacts from COVID-19 owing to the offset between the influence on hotel stocks and no effect on the stock market.Based on the results,investors and portfolio managers should be aware that the impact of COVID-19 on hotel stock returns depends on the balance between the direct and indirect effects,and varies from country to country and region to region.

Does the EVA valuation model explain the market value of equity better under changing required return than constant required return?

Through the Economic-Value-Added(EVA)valuation model,the expected market value of equity can be determined by adding the book value of equity with the present value of expected EVAs under the assumption of constant required return and constant return on equity.The equation of EVA valuation model has taken its shape under the assumption of constant required return and constant return on equity.However,a large body of empirical evidence indicates that required rate of return never remain constant.The EVA-valuation model formulated under constant required return cannot be implemented under the scenario of changing required return.In this study,we explored whether the EVA valuation model could be implemented under changing required return by making any changes in the model and found that it could be implemented under the scenario of changing required return by replacing the book value of the equity of the existing model with the present value of required earnings or normal market earnings.We further examined whether the explanatory ability of the EVA valuation model under the assumption of changing required return is better than that of the valuation model under the assumption of constant required return.Relative information content analyses were conducted by considering sample of the intrinsic value of equities determined by valuation models and the market value of equities of 69 large-cap,88 mid-cap,and 79 small-cap companies.The results showed that the EVA-based valuation model with changing normal market return outperformed the EVA-based valuation model with constant required return.

Contingent convertible lease modeling and credit risk management

The main objective of this study is to determine a lease agreement to finance an investment project and a solution for managing credit risk.This study investigates three types of contingent leases to reduce the costs associated with bankruptcy and compensate for the lessor’s position.A leasing defaultable contract allows the lessor to obtain the rent that will be recovered if the lessee defaults.A leasing convertible contract can be automatically converted into shares when certain default conditions related to the cash flows generated by the firm are met.These conditions are triggered by the ratio of the firm’s value and leasing payments.A Defaultable-Convertible-Leasing contract with a payback option grants the lessor the right but not the obligation to convert the remaining lease payments into stocks or to break up the contract and pick up the rented equipment when the firm reaches the default threshold.These contracts are motivated by contributing to the range of risk-management strategies by adding more flexibility to standard leasing contracts and contingent rents.Closed-form securities pricing solutions are set forward in a dynamic model for firms with existing assets and a growth option financed by shares and a contingent lease.Risk-neutral pricing theory and the backward induction method are used to determine the pricing of corporate securities.Numerical analysis shows that leasing convertible contracts and defaultable-convertible contracts with payback options impact the service value of the leased asset,maturity,and inefficiencies resulting from insolvency and asset substitution.An optimal conversion rate reduces inefficiencies,thus making the leasing convertible contract and defaultable-convertible-leasing contract with payback option a reliable solution to ensure business continuity and loss coverage of the leasers upon default.

Interest rate swap pricing with default risk under variance gamma process

Under the assumption that the dynamic assets price follows the variance gamma process, we establish a new bilateral pricing model of interest rate swap by integrating the reduced form model for swap pricing and the structural model for default risk measurement.Our pricing model preserves the simplicity of the reduced form model and also considers the dynamic evolution of the counterparty assets price by incorporating with the structural model for default risk measurement. We divide the swap pricing framework into two parts, simplifying the pricing model relatively. Simulation results show that, for a one year interest rate swap, a bond spread of one hundred basis points implies a swap credit spread about 0.1054 basis point.

Empirical analysis on risk of security investment

The paper analyzes the theory and application of Markowitz Mean-Variance Model and CAPM model. Firstly, it explains the development process and standpoints of two models and deduces the whole process in detail. Then 30 stocks are choosen from Shangzheng 50 stocks and are testified whether the prices of Shanghai stocks conform to the two models. With the technique of time series and panel data analysis, the research on the stock risk and effective portfolio by ORIGIN and MATLAB software is conducted. The result shows that Shanghai stock market conforms to Markowitz Mean-Variance Model to a certain extent and can give investors reliable suggestion to gain higher return, but there is no positive relation between system risk and profit ratio and CAPM doesn＇t function well in China＇s security market.

Can news-based economic sentiment predict bubbles in precious metal markets?

This study examines the role of market sentiment in predicting the price bubbles of four strategic metal commodities(gold,silver,palladium,and platinum)from January 1985 to August 2020.It is the first to investigate this topic using sentiment indices,including news-based economic and consumer-based sentiments developed using different methods.We observed the role of sentiment as a reliable indicator of future bubbles for some metal commodities and found that bubbles were regularly concomi-tant with bearish sentiments for gold and platinum.Moreover,gold and palladium were the only commodities that experienced a bubble during the COVID-19 pandemic.Overall,our findings suggest inclusion of sentiment to the model that predicts the price bubbles of precious metals.

Discount Rate of China’s New Energy Power Industry

Under the dual pressures of energy crisis and environmental pollution,China’s new energy power industry has become a focal point for environmental management and requires greater investment.In this context,as a significant input of investment projects,discount rate requires a well-calibrated evaluation because new energy power investment projects are highly capital intensive.The main objective of this paper is to evaluate the discount rate of China’s new energy power industry.First,we use Moving Average to correct the parameters of capital asset pricing model(CAPM)and weighted average cost of capital,which extends the literature on the avoidance of CAPM noise information problem.Second,we study the industry-level annual discount rates of mainly China’s new energy power industries,including hydropower,nuclear power,wind power,and photovoltaic power industries for the period of 2014-2019.The results show that discount rates in China’s new energy power industries evolved differently between the years of 2014-2019 with average annual discount rates being 7.56%,5.83%,5.60%,and 8.64%,for the hydropower,nuclear power,wind power,and photovoltaic power industries,respectively.In 2019,the four annual discount rates were highest for the photovoltaic power industry(8.66%),followed by hydropower(7.17%),wind power(5.72%),and nuclear power industry(5.26%).Forecasting to 2020 from the 2019 evaluation base period,the discount rates are 6.37%,5.00%,6.57%,and 9.05%for the photovoltaic power,hydropower,wind power,and nuclear power industries,respectively.Under the different capital structures,their forecasts for the photovoltaic power,hydropower,wind power,and nuclear power industries in 2020 are,respectively,within[4.35%,9.24%],[3.92%,7.10%],[4.58%,10.40%],[5.46%,14.81%].We also discussed more details on capital structure and forecast period of discount rates for China’s new energy power industries.Our analysis shows that it is necessary to establish a new energy power industry database and steadily promote the implementation of policies.

Implications of Fama-French Models and Critical Evaluation of Cost of Equity Approach in Explanation of Variations in Expected Stock Returns

CAPM theory that solves relationship between asset return and asset risk for potential investment project by CML and SML,is illustrated in the first section as an introduction of further analysis of corporate valuation techniques.Fama and French three factor model is perceived as a revision of CAPM,although it stills has severe weaknesses.CAPM theory solves relationship between asset return and asset risk for potential investment project by CML and SML.

A Binomial Model of Asset and Option Pricing with Heterogeneous Beliefs

This paper provides a difference-in-opinions equilibrium framework for pricing asset and option in a multi-period binomial economy with heterogeneous beliefs.Agents agree to disagree about their beliefs on the probability and asset return in each state of nature.By constructing a consensus belief,we examine the impact of heterogeneous beliefs on market equilibrium.We show that agents'wealth shares are expected to remain the same under the consensus belief,although they are expected to increase under their own beliefs.Also large disagreement leads to lower risk premium,while high disagreement on the future return in up state(down state)leads to lower(higher)risk-free rate and expected return for the risky asset.Furthermore,under the consensus belief,the implied volatility of the call options exhibits some observed patterns widely documented in option markets.

Yan Theorem in L~∞ with Applications to Asset Pricing

We prove an L∞ version of the Yan theorem and deduce from it a necessary condition for the absence of free lunches in a model of financial markets, in which asset prices are a continuous R^d valued process and only simple investment strategies are admissible. Our proof is based on a new separation theorem for convex sets of finitely additive measures.

The term structure of Sharpe ratios and arbitragefree asset pricing in continuous time

Motivated by financial and empirical arguments and in order to introduce a more flexible methodology of pricing,we provide a new approach to asset pricing based on Backward Volterra equations.The approach relies on an arbitrage-free and incomplete market setting in continuous time by choosing non-unique pricing measures depending either on the time of evaluation or on the maturity of payoffs.We show that in the latter case the dynamics can be captured by a time-delayed backward stochastic Volterra integral equation here introduced which,to the best of our knowledge,has not yet been studied.We then prove an existence and uniqueness result for time-delayed backward stochastic Volterra integral equations.Finally,we present a Lucas-type consumption-based asset pricing model that justifies the emergence of stochastic discount factors matching the term structure of Sharpe ratios.

A Research of China Stock Market by Capital-Asset Pricing Model

Capital Asset Pricing Model (CAPM) is an important investment portfolio model,which is developmented from Markowitz’s investment portfolio theory. This paper initially verifies CAPM by means of the statistical regression analysis on the data in Shanghai stock exchange, including 164 kinds of going public stocks, from September 1992 to October 1994. The paper analyzes the current situation of China stock exchange and suggests how to develop its trade.

Financialisation in emerging economies:a systematic overview and comparison with Anglo-Saxon economies

Financialisation research has originally focussed on the US experience,but the concept is now increasingly applied to emerging economies(EMEs).There is a rich literature stressing peculiarities of individual country experiences,but little systematic comparison across EMEs.This paper fills this gap,providing an overview of the debate and identifying six financialisation interpretations for EMEs.These different interpretations stress(1)financial deregulation,(2)foreign financial inflows,(3)asset price volatility,(4)the shift from bank-based to market-based finance,(5)business debt,and(6)household indebtedness.We construct and compare measures of the six financialisation interpretations across a sample of 17 EMEs from Latin America,emerging Europe,Africa and Asia,contrasting them with the US and UK,two financialised economies.We find considerable variation in financialisation experiences of EMEs.Asset price volatility is found across the continents.Asia has been more exposed to capital inflows,stock markets have gained importance and private sector debt has risen.In emerging Europe financial deregulation has been more pronounced with lower levels but strong increases in household debt.The picture is similar in South Africa,the African EME in the sample,where household debt is comparatively high.Financialisation in Latin America is weaker according to our measures.

Optimal Monetary Policy in China

Using the structural vector autoregression model, we estimate the current responses of monetary policy to contemporaneous shocks from macroeconomic variables. Our findings indicate that the People＇s Bank of China responded to inflation and output changes, but did not react to asset price fluctuations during the period from January 1997 to March 2010. The optimal monetary responses to exogenous shocks are also examined It is revealed that using asset prices to formulate monetary policy would not help to improve monetary authorities ＇performance in lowering the volatilities of output growth and inflation while keeping output growth and inflation in their safety zones. The effectiveness of monetary policy and fiscal policy in reacting to external shocks is also discussed.

Currency Exposure in China under the New Exchange Rate Regime： National Level Evidence

The present paper studies China＇s national level currency exposure since 2005 when the country adopted a new exchange rate regime allowing the renminbi （RMB） to move towards greater flexibility. Using generalized autoregressive conditional heteroskedastic and constant conditional correlation-generalized autoregressive conditional heteroskedastic methods to estimate the augmented capital asset pricing models with orthogonalized stock returns, we find that China equity indexes are significantly exposed to exchange rate movements. In a static setting, there is strong sensitivity of stock returns to movements of China＇s trade- weighted exchange rate, and to the bilateral exchange rates except the RMB/dollar rate. However, in a dynamic framework, exposure to all the bilateral currency pairs under examination is significant. The results indicate that under the new exchange rate regime, China＇s gradualist approach to moving towards greater exchange rate flexibility has managed to keep exposure to a moderate level. However, we find evidence that in a dynamic setting, the exposure of the RMB to the dollar and other major currencies is significant. For China, the challenge of managing currency risk exposure is looming greater.

Analysis of High Frequency Data in Finance:A Survey

This study examines the use of high frequency data in finance,including volatility estimation and jump tests.High frequency data allows the construction of model-free volatility measures for asset returns.Realized variance is a consistent estimator of quadratic variation under mild regularity conditions.Other variation concepts,such as power variation and bipower variation,are useful and important for analyzing high frequency data when jumps are present.High frequency data can also be used to test jumps in asset prices.We discuss three jump tests:bipower variation test,power variation test,and variance swap test in this study.The presence of market microstructure noise complicates the analysis of high frequency data.The survey introduces several robust methods of volatility estimation and jump tests in the presence of market microstructure noise.Finally,some applications of jump tests in asset pricing are discussed in this article.