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The purpose of this research is to test for price threshold effects in the demand for high-involvement services for small businesses.

The authors use a stated preference choice-based conjoint study of small business telecommunications demand. Using survey data, individual-level parameter estimates for a demand model are achieved via the Hierarchical Bayes method of estimation.

For demand for small business telecommunications services, the authors find very strong positive impacts of nine-ending and zero-ending prices on the demand for a common bundle of telecommunications services (wired telephone service, broadband internet, and cellular telephone service), even at prices so high a shift in the left-most digit does not occur.

The advertising, brand, or product manager or statistician who assumes threshold effects are not extant in high-involvement service demand may find conventional demand estimation methods lead to erroneous conclusions and less effective pricing strategies.

In the statistical literature on price-ending effects on product demand, most products for which demand is modelled are low-involvement consumer products priced at less than ten monetary units per unit of product. There is a lacuna in this price-ending effects literature regarding small businesses and high-involvement services offered at three-digit prices via monthly subscription. This research indicates that testing for threshold effects should be de rigeur in the methodology of demand estimation for telecommunications or other high-involvement services.

I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.

Airtel, the leading mobile operator in India was going to launch the “Airtel Zero” platform that would charge service providers and OTT providers on the internet for mobile data traffic but would allow end consumers free access to the web sites that were signed up for the platform. The case revolves around the questions of pricing these data services to the service providers in a market where the price to one set of customers (the end consumer) was not independent of the price to another set of customers (the OTT service providers) - typical of two sided markets. Issues of net neutrality and competition have been considered alongside.

Traditionally, full-service broker/dealers catering to institutional investors have bundled trade execution with investment research. Since 2018, new market regulation has forced broker/dealers to unbundle and to sell research separately. The purpose of this paper is to shed some light on the expected pricing of research.

A stylized model is presented in this study in which a monopolist fixed income, currencies and commodities (FICC) research provider faces a linear demand function and picks an appropriate price schedule.

It is shown that it is important to initiate the price discovery process using a low price and that some broker/dealers will not be able to identify a regulatory compliant price/quantity solution because their research-production fixed cost is very high compared to the research demand function they face.

There are three main findings from our model: pricing research at cost is not always possible; if there is a unique solution, an iterative approach only works when starting off with a low-enough initial price; and if there are two solutions, only the low-cost/high-volume solution can be discovered in an iterative process.

The results presented are important to broker/dealers about to discover the market demand for their FICC research publications on the back of the implementation of MiFID II. Having distributed FICC research for free in the past, they have no knowledge about the demand function (other than what is demanded at a price of zero). Because research publications are highly differentiated products, observing the pricing of competitors is insufficient. Iteratively gaining knowledge about the demand function using price adjustments and customer questionnaires becomes the most likely mean for discovering the demand function. It is important to initiate the price discovery process with a low price. Some broker/dealers will not be able to identify a regulatory compliant price/quantity solution because their research-production fixed cost is too high compared to the research demand function they face. Finally, it is shown that these broker/dealers with two possible equilibriums face difficulty in identifying the high-price/low-volume research equilibrium because of the non-converging nature of the iterative process.

The authors present a model that incorporates stochastic interest rates to value equity‐linked life insurance contracts. The model generalizes some previous pricing results of Arne and Persson [1994] that are based on deterministic interest rates. The article also proposes and compares a design for a new equity‐linked product with the periodical premium contract of Brennan and Schwartz [1976]. The advantages of the proposed prod‐uct are its simplicity in pricing and its ease of hedging, by using either by long positions in the linked mutual fund or by European call options on the same fund.

The practice of pricing with numbers ending in nine (“nine‐ending”) has been little studied. It now seems well established that, under certain conditions, the practice of such pricing strategies has a particular effect on sales, especially inciting the customer to buy products that are more expensive. The research design for explaining such an effect would depend on the price encoding mechanisms, namely, the emphasis of focusing attention, which decreases when reading from left to right, leading to only partial memorization of the price. This would favour the leftmost digits, thus leading to errors of evaluation or estimation of the starting price. A new experiment was carried out to test this possibility. Subjects had to estimate the discount rate of products in a sale, according to whether the starting price was a “rounded” figure or “odd‐ending”. Assuming the first digit of the price is memorized, we might expect that a round starting price leads to an overestimation of the amount of the offered discount. The results provide evidence in support of this hypothesis, enabling us to gain a more accurate knowledge of the processes used for estimating the starting price.

The discount image associated with odd-ending prices has led to its extensive use by retailers. The purpose of this study is to assess the impacts and applications of nine-ending vs round-ending prices on the purchase of green and non-green products at different price levels and under different purchase motivations.

Three experiments are conducted. The first experiment is a 2 (price ending: nine-ending vs round-ending) × 2 (product appeal: green vs non-green) between-subjects study; the second experiment is a 2 (price ending: nine-ending vs round-ending) × 2 (price level: low price vs high price) × 2 (product appeal: green vs non-green) between-subjects study; and the third experiment examined buyers’ preferences of price endings regarding the purchase of green products having either utility (utilitarian) or pleasure (hedonic) motivation.

This research highlights that consumers prefer zero-ending prices for green products and pleasure motivation products, but they prefer odd endings for low-priced and utilitarian products. These results support the increased reception of round-ending prices. Accordingly, this study contributes to the literature by providing a boundary condition for odd-ending prices. Specifically, the study finds that the effect of nine-ending prices becomes weaker as the price of the product increases.

The findings of this study have practical implications for managers, as the results indicate that pricing green products and high-quality perception products using round digits and pricing low-priced and utility perception products using odd digits will increase consumers’ purchase intentions. Moreover, pricing the products using round-ending prices will reduce the perception of low quality and deter brand loyalty emanating from a low-priced/discount image of a product.

This research contributes to theoretical and practical aspects of behavioural pricing literature. This research uncovers the buyers’ distinct preferences for zero-ending prices and odd-ending prices when purchasing different products based on different motivations and varied price levels. This is the first research of its kind to explore and compare the impact of psychological pricing on green products. The study also resolves a contradiction in past literature regarding the use of nine-ending prices by providing boundary conditions.

Extant literature on pricing posits that consumers’ internal reference price (IRP) drives willingness to pay (WTP), when external pricing cues are available. This positive IRP-WTP relationship is further moderated by involvement and price consciousness. The purpose of this paper is to test how the IRP-WTP relationship will be moderated by involvement and price consciousness, albeit in the pay-what-you-want (PWYW) context. In the PWYW setting consumers can pay any amount of money (including nothing) and no external pricing cues are provided.

A survey was engaged to measure the key variables, and the data was analyzed using hierarchical multiple regression with spotlight analyses.

In the normal everyday pricing context, involvement strengthens the IRP-WTP relationship, while price consciousness weakens it. Contrary to this normal pricing wisdom, in the PWYW context, it was found that both involvement and price consciousness weaken the IRP-WTP relationship, thereby driving down consumers’ WTP.

Future studies should use experimental design to manipulate some of the independent variables used in the study, focus on the mediating processes that underlie PWYW decision-making and extend the findings in the context of wider demographics.

Managers should focus on segmentation, branding and product experiences to ensure higher returns of PWYW businesses.

This paper addresses lack of overall research in the PWYW area, and also addresses some key gaps left by extant research of Kim et al. (2009) that was published in the Journal of Marketing.

The purpose of this paper is to derive semi‐closed‐form solutions to a wide variety of interest rate derivatives prices under stochastic volatility in affine‐term structure models.

The paper first derives the Frobenius series solution to the cross‐moment generating function, and then inverts the related characteristic function using the Gauss‐Laguerre quadrature rule for the corresponding cumulative probabilities.

This paper values options on discount bonds, coupon bond options, swaptions, interest rate caps, floors, and collars, etc. The valuation approach suggested in this paper is found to be both accurate and fast and the approach compares favorably with some alternative methods in the literature.

Future research could extend the approach adopted in this paper to some non‐affine‐term structure models such as quadratic models.

The valuation approach in this study can be used to price mortgage‐backed securities, asset‐backed securities and credit default swaps. The approach can also be used to value derivatives on other assets such as commodities. Finally, the approach in this paper is useful for the risk management of fixed‐income portfolios.

This paper utilizes a new approach to value many of the most commonly traded interest rate derivatives in a stochastic volatility framework.

Different external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.

According to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.

Results show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.

The main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.