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This paper aims to investigate possibility of statistical detection of market completeness for continuous time diffusion stock market models.

The paper uses theory of forecasting to find criteria of predictability of market parameters such as volatilities and the appreciation rates.

It is known that the market completeness is not a robust property: small random deviations of the coefficients convert a complete market model into an incomplete one. The paper shows that market incompleteness is also non-robust: for any incomplete market from a wide class of models, there exists a complete market model with arbitrarily close paths of the stock prices and the market parameters.

The paper results lead to a counterintuitive conclusion that the incomplete markets are indistinguishable in the terms of the market statistics.

The debate over how services should be advertised and communicated has raged on for decades. Much of the early work on services emphasized the use of tangible cues and was primarily issue and/or profession specific. There are no real communication guidelines that encompass all service marketers. This paper looks at how consumers use information in a purchase situation to establish communication guidelines for service providers. Marketers know consumers rarely have full information in a buying situation and have devised communication strategies accordingly. Services in particular offer less information than traditional consumer goods because of services inherent distinguishing characteristics, e.g. intangibility, non‐standardization and concurrent production and consumption. Integrating both conceptual and empirical work this paper uses a framework of incomplete information to examine commonly practiced communication methods of advertising, signaling, personal sources and relationship marketing. Using the two‐dimensional framework advanced in this paper, 16 communication guidelines for service providers are presented.

The purpose of this paper is to offer a “how to” guide for applying Merton’s (1987) valuation adjustment for incomplete information, which depends on market capitalization, idiosyncratic risk and extent of investor ownership.

The paper illustrates Bodnaruk and Ostberg’s (2009) formula for Merton’s adjustment, and presents some example empirical estimates of the adjustment for some US stocks.

The adjustment estimates are material for many example stocks, particularly volatile stocks with a low percentage of shares held by institutional funds. However, the adjustment estimates are modest for many other stocks, including some smaller cap. stocks.

Measuring the model’s inputs requires using some judgment, particularly regarding the investor ownership variable. The paper will hopefully help stimulate useful empirical research on adjustment estimates and on best practices for applying the model.

The paper may encourage more use of the incomplete-information adjustment in practice, which should lead to improved discount rate estimates in valuation analyses.

No other “bridge the gap” coverage of the incomplete-information adjustment is available in textbooks or the applied literature.

Large-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management.

The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model.

The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact.

The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.

The option pricing model of Black and Scholes (1973) shows that an option contract is redundant in a complete market as it can be completely replicated by its underlying assets and risk free assets. However, in a real world of incomplete markets, many studies have shown that option contracts are not redundant and can affect prices and trade volume of underlying assets as they contribute to the market completeness. Thus, this paper examines whether this holds for ELWs (Equity-Linked Warrants) in Korean stock market, which are well known to have the same function as option contracts. To do this, we analyze the effects of ELW listings on underlying stocks’ prices, trade volume, and volatilities, and test whether ELWs contribute to market completeness. Using the daily trading data of 5,799 ELWs on individual stocks from December 2005 to September 2011, we find that underlying stocks show significantly positive cumulative abnormal returns (CAARs) and abnormal trade volume after ELW listing dates, implying that the ELW listing affects significantly positive effects on prices and trade volume of underlying stocks. The volatility of underlying stocks is significantly decreasing after the ELW listing. The systematic risk measured as beta, however, does not change over the event window. This result indicates that the decrease in volatility of underlying stocks comes from the decrease of unsystematic risks, and the correlations between returns of market index and underlying stocks are increasing after the ELW listing. The result that ELW listing can have significant effects on the underlying market implies that current stock market is incomplete, and thus, it is natural to ask whether ELWs can contribute to market completeness. Using the method suggested by Buraschi and Jackwerth (2001), we examine whether ELWs are necessary to replicate the pricing kernel used in asset pricing. We select risk-free asset, underlying stock and ELW as reference assets to replicate the pricing kernel, and find that the pricing kernel cannot be replicated completely without ELWs. This result implies that ELWs are not redundant financial assets and are necessary to increase the market completeness in Korean stock market.

The purpose of this paper is to focus on the characteristics, efficiencies and interaction of many alternative market governance modes, by the approach of comparative institutional experimentation.

First, a highly simplified model of market economy is developed, which is embedded in a three‐layer governance structure. Then the model is transplanted into laboratory experimentation, so the characteristics and efficiencies of different governance modes can be identified by observing the subjects' behaviors under them.

The experimental results show that the market with governance structure based on rule is more efficient than the market with governance only based on long relation and based on preference or belief, and the dynamic improvement of governance based on rule has a destructive effect on the governance based on relation and governance based on preference or belief.

These results have profound implications for the development or enhancement of market institutions in transition or developing countries.

Merton’s model of capital market equilibrium under incomplete information predicts that contemporaneous stock returns are positively related to investor recognition and that future stock returns are negatively related to investor recognition. The purpose of this paper is to empirically investigate whether Merton’s theory holds true for the Chinese stock market.

This paper proposes the degree of shareholder base growth (SBG) as a proxy for investor recognition and examines the relationship between investor recognition and stock returns through a univariate analysis and Fama-Macbeth cross-sectional regressions based on A-Share listed firms.

The results show that investor recognition is nonlinearly and positively related to contemporaneous stock returns and is negatively related to future stock returns in contrast to the conclusions of Merton’s theory. A long-short trading strategy that involves buying stocks with the lowest SBG rate and that sells stocks with the highest SBG rate will earn an average monthly return of 3.615 percent.

Though Merton’s theory is not fully reflected in the Chinese stock market, investor recognition is considered an important risk factor in the Chinese stock market.

No works have yet investigated the validity of Merton’s “investor cognition hypothesis” in relation to the Chinese stock market. This paper strives to fill this gap.

This paper aims to examine the effects of adding non-tradable sector and trade in intermediate goods sector and their impact on the “Backus-Smith” (BS) puzzle and the features of the non-tradable output. Conventional international real business cycle models show that the real exchange rate and the terms of trade are positively correlated to the relative consumption movement between the home and foreign economies when there is a total factor productivity shock, whereas the correlation in the data is negative. The author develops a two-country, dynamic, stochastic and general equilibrium (DSGE) model with staggered price setting in the non-tradable sector and international trade in intermediate goods sector because of product differentiation in a high-asset market frictions situation.

In this paper, DGSE simulation and calibration are performed using Matlab with Dynare.

When the world economy has positive country-specific productivity shock, the benchmark model with non-tradable sector and intermediate goods sector successfully solves the BS puzzle and is able to match several features of the data. The dynamic responses to productivity shock show that integrating product differentiation is necessary to generate a more volatile and counter-cyclical non-tradable output.

The paper investigates the effects of incorporating non-tradable sector and trade in interemediate goods sector to standard two-country DSGE model through simulation and calibration.

This article discusses issues common to the pricing of both insurance and finance. These include increasing collaboration between insurance companies and banks, deregulation of various insurance and finance markets, integrated risk management, and the emergence of financial engineering as a new profession. Rather than attempting to give an exhaustive exposition of the issues at hand, the author highlights developments that, from a methodological point of view, offer new insight into the comparison of pricing mechanisms between insurance and finance.

The relationship between farm size and land productivity is a hotly debated issue in the study of agricultural economics and development economics. The purpose of this paper is to explore the causes leading to the inverse productivity relationship by examining the relationship between farm size and factor inputs.

With a large panel data set of farm households in China during 2010–2011, this study uses the factor demand models to examine the relationship between farm size and per-mu labor and non-labor inputs while employing a stochastic frontier production function in determining the difference of labor efforts in farming operation across farm sizes. Moreover, the models for value-added margins and profits are used to further determine producer behavior of small-size farms.

Results of this study show that, as compared to larger farms, smaller farms not only utilize more labor and non-labor inputs per mu, but also benefit from a higher labor effort. Moreover, smaller farms concentrate more on grain output and cash costs while focusing less on the family labor input costs in an effort to maximize value-added margins rather than profits. The higher yields on smaller farms are thus a result of the utilization of a relatively higher level of labor and non-labor inputs along with skilled-oriented precision farming technology. The inverse productivity relationship is explained by the behavior of small-size producers with employment constraints, leading to smaller farms generating a higher yield than larger farms.

While Sen (1966), Feder (1985), Eswaran and Kotwal (1986) and others have theoretically derived the causal relationship between the incomplete factor markets, especially incomplete labor markets, and the inverse productivity, empirical studies to test the causal relationships are limited. In particular, a solid foundation based on an empirical analysis is lacking when it comes to explaining the inverse productivity in China. Results of this study are expected to have significant policy implications in terms of the understanding of small-size producer behavior and the associated mechanism underlying the inverse relationship between farm size and land productivity.