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The effects of price limits and market illiquidity are crucial for pricing derivatives based on some underlying assets traded in the markets with a price limit rule and an illiquidity phenomenon. We develop models to value options for the cases of either the underlying assets encountering price limits and market illiquidity, or when the underlying assets are imposed with price limits and the options themselves show market illiquidity in this paper. The Black–Scholes (1973) model, the Krakovsky (1999) model, and the Ban, Choi, and Ku (2000) model are presented as special cases of our model. Our numerical results show that both the price limit and market illiquidity significantly affect the option values.

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

Examines the advantages and disadvantages of six service pricing approaches in the service literature including: traditional cost‐oriented approach; traditional competitive‐oriented approach; extended cost‐oriented approach; differentiation premium approach; client‐driven approach; and bundle pricing approach. Proposes a multi‐step synthetic pricing approach and a framework to deal with the complexity of service pricing. Compared with other pricing approaches, the multi‐step synthetic service pricing approach has the advantages of considering simultaneously the crucial aspects of service pricing: market competitiveness; internal cost‐profit structure; bundling and unbundling service pricing; service characteristics premium; price standard limits; client‐oriented price/demand sensitivity; and client‐oriented profit maximization. Provides an example to demonstrate the managerial application of the proposed approach.

This paper seeks to provide a detailed study of the impact of offers incorporating a time‐limit restriction on consumers in the context of price promotions. Time limited offers are those where a pricing offer is only available for a specified, normally relatively short, period of time. Although price promotions have been the subject of much previous research, a detailed study of the effects of time limit restrictions on consumer behavior is warranted.

The study incorporates an experimental approach whereby the impact of time‐limited and non time‐limited offers on consumers' assessments of value and search and purchase intentions are isolated.

Findings show that the presence of a time limit does not impact directly on perceptions of value or search and purchase behavior. A marginally significant interaction effect between time limit and discount size is present, impacting in particular on search behavior.

The research was carried out in the context of a consumer durable good (TV) and it is recommended that the study is replicated in other contexts, such as services and packaged goods, to ensure that the results reported here are generalisable.

The results suggest that policy makers should not assign significant time and resources to investigating influences of alleged false time limit promotion, as the findings would lead to the conclusion that such resources would be better used controlling other forms of misleading advertising and promotion. Marketing managers should note that time limited offers have no significant impact on consumer perceptions or purchase intentions.

The paper is of value to both the policy making community and practitioners and provides important and original insights into the minimal impact of time limit restrictions on consumers' evaluation of price promotion offers and subsequent behavioral intentions.

The purpose of this paper is to investigate empirically the forecasting performance of jump-diffusion option pricing models of (Merton and Bates) with the benchmark Black–Scholes (BS) model relative to market, for pricing Nifty index options of India. The specific period chosen for this study canvasses the extreme up and down limits (jumps) of the Indian capital market. In addition, equity markets keep on facing high and low tides of financial flux amid new economic and financial considerations. With this backdrop, the paper focuses on finding an impeccable option-pricing model which can meet the requirements of option traders and practitioners during tumultuous periods in the future.

Envisioning the fact, the all option-pricing models normally does wrong valuation relative to market. For estimating the structural parameters that governs the underlying asset distribution purely from the underlying asset return data, we have used the nonlinear least-square method. As an approach, we analyzed model prices by dividing the option data into 15 moneyness-maturity groups – depending on the time to maturity and strike price. The prices are compared analytically by continuously updating the parameters of two models using cross-sectional option data on daily basis. Estimated parameters then used to figure out the forecasting performance of models with corresponding BS and market – for pricing day-ahead option prices and implied volatility.

The outcomes of the paper reveal that the jump-diffusion models are a better substitute of classical BS, thus improving the pricing bias significantly. But compared to jump-diffusion model of Merton’s, the model of Bates’ can be applied more uniquely to find out the pricing of three popularly traded categories: deep-out-of-the-money, out-of-the-money and at-the-money of Nifty index options.

The outcome of this research work reveals that the jumps are important components of pricing dynamics of Nifty index options. Incorporation of jump-diffusion process into option pricing of Nifty index options leads to a higher pricing effectiveness, reduces the pricing bias and gives values closer to the market. As the models have been tested in extreme conditions to determine the dominant effectuality, the outcome of this paper helps traders in keeping the investment protected under normal conditions.

The specific period chosen for this study is very unique; it canvasses the extreme up and down limits (jumps) of the Indian capital market and provides the most apt situation for testifying the pricing competitiveness of the models in question. To testify the robustness of models, they have been put into a practical implication of complete cycle of financial frame.

The purpose of this paper is to model the Chinese unique regulation changes with the supply-and-demand analytical framework and structure the relationship between initial public offerings (IPO) underpricing and institutional changes with the comparative static method. A well-functioning stock market is crucial to the transition into a market economy, but the Chinese stock market is somehow twisted with frequent government interventions, particularly the IPO market. Can the underpricing issue be mitigated in the changing institutional settings? Can the market-orientated incremental reform of regulations succeed in the Chinese stock market?

The theoretical analysis confirms that IPO underpricing becomes relatively better with dynamic changes of relaxation of the approval and pricing systems. Collecting and examining the data of newly listed firms from 1993 to 2010, the influence of institutional changes on IPO underpricing with regressions, such as ordinary least square (OLS), bootstrap and two stage least square (2SLS) estimation methods was further empirically examined.

The magnitude of the Chinese IPO underpricing during the past two decades is as high as 181.6 per cent on the average. The sizes of IPO underpricing significantly reduce with an increase in the issuing sizes and the ratios of price-earnings ratios. The dummy variables of government-approved regulations are negatively associated with IPO underpricing. The dummy variables of pricing regulations are positively related to IPO underpricing and the coefficients become smaller with newer regulations. Generally, the magnitude of the Chinese IPO underpricing decreases over time.

This paper enriches the IPO literature by dynamically examining the effect of institutional changes on IPO underpricing in Chinese primary markets. We argue that institutional changes characterized by incremental marketization can help to alleviate extreme IPO underpricing and to promote financial development. The Chinese transition from the planning system to the market system in the IPO market will be a long and strenuous process, but it works.

The purpose of the present study is to explore the pricing methods that service companies adopt in order to set their prices, along with the service, organizational and environmental characteristics that influence these methods.

To achieve the research objectives, data were collected through personal interviews in 170 companies operating in six different services sectors in Greece.

The study concluded that the two most popular pricing methods are the traditional “cost‐plus” method and “pricing according to the market's average prices”, while all the other methods (including customer‐based methods) are adopted by a small number of companies in the sample. Similarly, “service cost” along with “competitors' prices” were found to be the two most important characteristics that are taken into consideration when setting prices.

Despite the importance attached to cost and competitive issues when setting prices, pricing decisions need to be treated from a more “holistic” approach, where apart from cost and competition, emphasis will also be placed on other company and environmentally related characteristics, including customers. The significance of these findings notwithstanding, the context of the study is a caveat, since it limits the ability to generalize the results to other countries.

The contribution of the paper lies in the fact that it presents the first attempt to examine empirically the potential impact of these characteristics on the pricing methods used.

Rapidly increasing the proportion of installed wind power capacity with zero carbon emission characteristics will help adjust the energy structure and support the realization of carbon neutrality targets. The intermittency of wind resources and fluctuations in electricity demand has exacerbated the contradiction between power supply and demand. The time-of-use pricing and supply-side allocation of energy storage power stations will help “peak shaving and valley filling” and reduce the gap between power supply and demand. To this end, this paper constructs a decision-making model for the capacity investment of energy storage power stations under time-of-use pricing, which is intended to provide a reference for scientific decision-making on electricity prices and energy storage power station capacity.

Based on the research framework of time-of-use pricing, this paper constructs a profit-maximizing electricity price and capacity investment decision model of energy storage power station for flat pricing and time-of-use pricing respectively. In the process, this study considers the dual uncertain scenarios of intermittency of wind resources and random fluctuations in power demand.

(1) Investment in energy storage power stations is the optimal decision. Time-of-use pricing will reduce the optimal capacity of the energy storage power station. (2) The optimal capacity of the energy storage power station and optimal electricity price are related to factors such as the intermittency of wind resources, the unit investment cost, the price sensitivities of the demand, the proportion of time-of-use pricing and the thermal power price. (3) The carbon emission level is affected by the intermittency of wind resources, price sensitivities of the demand and the proportion of time-of-use pricing. Incentive policies can always reduce carbon emission levels.

This paper creatively introduced the research framework of time-of-use pricing into the capacity decision-making of energy storage power stations, and considering the influence of wind power intermittentness and power demand fluctuations, constructed the capacity investment decision model of energy storage power stations under different pricing methods, and compared the impact of pricing methods on optimal energy storage power station capacity and carbon emissions.

1. Electricity pricing and capacity of energy storage power stations in an uncertain electricity market.

2. Investment strategy of energy storage power stations on the supply side of wind power generators.

3. Impact of pricing method on the investment decisions of energy storage power stations.

4. Impact of pricing method, energy storage investment and incentive policies on carbon emissions.

5. A two-stage wind power supply chain including energy storage power stations.

Electricity pricing and capacity of energy storage power stations in an uncertain electricity market.

Investment strategy of energy storage power stations on the supply side of wind power generators.

Impact of pricing method on the investment decisions of energy storage power stations.

Impact of pricing method, energy storage investment and incentive policies on carbon emissions.

A two-stage wind power supply chain including energy storage power stations.

The paper seeks to fill a research gap that concerns empirical studies on value‐based pricing in durable consumer goods. It aims to analyse the relationship between value for the customer and market prices in the washing machines market.

The customer value of a sample of 129 washing machine models is assessed through the conjoint analysis technique. It is then compared through a regression analysis to the market prices of the products.

The regression analysis reveals that the alignment between price and value for the customer is limited (only one of the two subsamples presents a positive dependence among the variables).

The study lacks explanatory power about the reasons for the misalignment between price and customer value in the investigated sector. The results, moreover, refer to a specific product category and a specific national market, although their representativeness as a mature durable in a mature market suggests a broader relevance of the implications. The size of the samples of the empirical research is also limited.

The paper provides an example and guidelines to practitioners on how to implement a customer value assessment. It provides practitioners a deeper understanding of the consequences of misaligned pricing, and of the potential of understanding the actual value sources for the customers.

The study empirically assesses the relationship between value for the customer and market prices of a category of mature durable goods. The results support the claim that value‐based pricing, although believed to be superior to other pricing policies, is still not established as a prominent practice. Moreover, the findings contribute to the discussion on the value of environment‐related attributes and their lifecycle monetary impact on the customers. It also identifies another possible obstacle to the adoption of value‐based pricing, i.e. the structure of the market, to be added to the ones reviewed in the literature.

The purpose of this paper is to investigate the pricing strategies of me‐too brands.

This research estimates an empirical model using a panel data of 20 consumer packaged goods sub‐categories.

Me‐too brands face pricing constraints that restrict them from pricing aggressively versus the feature pioneer. The results show that private label brands have the most flexibility to price aggressively. Line extensions me‐toos and new brand name me‐toos do not cut price. Line extensions of national brands are constrained by their parent brand's prices. New brand names are constrained by the higher costs of launching a new brand name. Thus, it appears that consistent product line pricing and covering the costs of launching a new brand name limit price competition versus the feature pioneer.

This research is limited by the lack of distribution data, the lack of customer mind‐set measures of brand equity, and the limited number of private label me‐toos in the sample.

Feature pioneers need not worry about price cutting from line extension and new brand name me‐toos. They can set prices to cover their development costs and meet their strategic goals. Without the ability to undercut the feature pioneer, me‐too brands need to utilize other marketing tools to compensate for delayed entry.

Conventional wisdom suggests a me‐too brand succeeds if it charges a low price as low prices are essential to obtain trial. This paper provides empirical evidence that certain types of me‐too brands are restricted from aggressive price cutting.