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After completion of the case study, the students will be able to understand the different risks associated with a business, focusing on price risk and the importance of price risk management in business; understand and evaluate the products available for hedging price risk through exchange-traded derivatives in the Indian scenario; and understand and evaluate the different strategies for price risk management through exchange-traded derivatives in the Indian scenario.

The case study pertains to a small business, M/s Sethi Jewellers. The enterprise is being run by Shri Charan Jeet Sethi and his son Tejinder Sethi. The business is located in Jain Bazar, Jammu, UT, in Northern India. The business was started in 1972 by Charan Jeet’s father. They deal in a wide range of jewelry products and are well-established jewelers known for selling quality ornaments. Tejinder (MBA in marketing) was instrumental in revamping his business recently. Under his leadership, the business has experienced rapid transformation. The business has grown from a one-room shop fully managed by Tejinder’s grandfather to a multistory showroom with several artisans, sales staff and security persons. Through his e-store, Tejinder has a bulk order from a client where the client requires him to accept the order with a small token at the current price and deliver the final product three months from now. Tejinder is in a dilemma about accepting or rejecting the large order. Second, if he accepts, should he buy the entire gold now or wait to buy it later at a lower price? He is also considering hedging the price risk through exchange-traded derivatives. However, he is not entirely sure, as he has a few apprehensions regarding the same, and he is also not fully aware of the process and the instruments he has to use for hedging the price risk on the exchange.

The case study is aimed to cater to undergraduate, postgraduate and MBA students in the field of finance. This case study can be used for students interested in commodity derivatives, risk management and market microstructure.

Teaching notes are available for educators only.

CSS 1: Accounting and finance.

The learning outcomes of this study are as follows:

1. the benefits of differential pricing over uniform pricing;

2. the differences between second- and third-degree price discrimination;

3. the rationale for charging different prices for segments having different willingness to pay; and

4. how different prices for the same product can lead to perceptions of unfairness and how companies might manage such an issue.

This case outlines the decisions that Adar Poonawalla, the CEO of Serum Institute of India (Serum), had to make in late April 2021 concerning its pricing for the COVID-19 (Covid) vaccine. Serum was the world’s largest manufacturer of vaccines, and its Covishield vaccine had received regulatory approval, but faced an unusual challenge and opportunity. In most countries, governments had procured Covid vaccines from manufacturers and then delivered the vaccines to consumers free of cost. But in India, there was a three-tier pricing system. While the Government of India had committed to free vaccines in government-run public hospitals, it also allowed vaccine makers to directly sell vaccines to state governments, as well as private hospitals, who were at liberty to charge consumers for the vaccines. This created an interesting pricing dilemma for Serum: as different customers had different willingness to pay, should Serum use differential pricing? Would such a tiered pricing system be considered fair? How many different price points should Serum maintain? By exploring these and related decisions that Poonawalla had to make, the case is intended to teach price discrimination.

The case is intended for graduate-level courses in marketing, pricing and economics. This case illustrates the principles of differential pricing/price discrimination. More specifically, it highlights pricing strategies motivated by second- and third-degree price discrimination in an emerging market’s health-care context. From the information in the case, the student can learn to apply the concepts of second- and third-degree price discrimination in marketing. After working through the case and assignment questions, instructors will be able to help students understand the following concepts:

Teaching objective 1: the benefits of differential pricing over uniform pricing.

Teaching objective 2: the differences between second- and third-degree price discrimination.

Teaching objective 3: the rationale for charging different prices for segments having different willingness to pay.

Teaching objective 4: how different prices for the same product can lead to perceptions of unfairness and how companies might manage such an issue.

Teaching notes are available for educators only.

CSS 8: Marketing

Sondologics, a manufacturer of video, audio, and gaming accessories products, was experiencing pricing and distribution problems in its channels. Numerous retailers were complaining about unfair price competition from unauthorized retailers, i.e., gray marketers, on standalone websites or Amazon's Marketplace, offering discounts of up to 30% off list price.

The company estimated that about 10% of its retail volume in the United States was being generated by unauthorized retailers. Compounding the problem, gray marketers and authorized retailers alike were selling at below-list prices, which violated the Sondologics MAP (minimum advertised pricing) policy.

Sondologics was considering numerous initiatives to address the MAP and gray-market problems, including retaining a third-party service to monitor pricing and distribution in the channel. Students are asked to develop recommendations that would promote sales while protecting the name-brand image and price points of Sondologics' products.

Robert Davidson, pricing manager for Tupelo Medical, was concerned about the variability in price paid for its top-selling product, the Micron 8 Series blood pressure monitoring system. Using historical transaction data, Davidson must determine the appropriate price floor. Setting a price too high risked the loss of a large number of customers, putting the company at substantial risk due to the importance of the product. Setting a price too low would impact Davidson's ability to meet the stated objective of increasing margins by 3 percent. He wondered what the optimal price floor would be and what the expected profits would be for that new price floor. Additionally, the company's business varied considerably by geographic region, account size and account type. As a result, he needed to consider whether it made sense to set a single price floor or whether he could improve profits by allowing some variability in the price floor by customer segment.

• To illustrate how one can build a data-driven pricing model to study the tradeoff between margin and probability of winning a sale in a B2B market

• To quantify the value from implementing a price floor with a B2B sales force

• To demonstrate the incremental value of implementing a price floor that varies by customer segment.

To illustrate how one can build a data-driven pricing model to study the tradeoff between margin and probability of winning a sale in a B2B market

To quantify the value from implementing a price floor with a B2B sales force

To demonstrate the incremental value of implementing a price floor that varies by customer segment.

Marketing, Pricing, Strategic marketing.

The case is developed for an MBA-level program.

In May 2017, the telecom industry in India witnessed an intense price war over 4G (fourth generation) data prices. Gopal Vittal, CEO of Bharti Airtel was exploring various options on how best to respond to the situation. He had to take a final call regarding Bharti Airtel’s marketing team’s counter move to tackle this price war by Jio – should Bharti Airtel ignore it, accommodate it or retaliate with even lower prices? Bharti Airtel strongly believed that Jio pricing structure had violated “fair pricing” norms, and its pricing was anti-competitive. It had filed a case with the Telecom Regulatory Authority of India (TRAI) and the Competition Commission of India (CCI) to restrain Jio from further giving “free” promotional offers and penalize it for it. Could the legal recourse by Bharti Airtel dampen Jio’s consistent subscriber growth rate?

The case provides the students with an insight into how the competition focused on pricing happens in the telecom industry. The pricing war affects the profit margin of all competing companies. It changes the customer reference point for evaluating the competing products and services. The students would also learn practical applications of positive-sum pricing, pricing war, fair pricing and legal aspects of pricing. This case provides the students with an opportunity to understand the pricing war and how to respond to it in a particular situation; understand positive-sum pricing and negative-sum pricing in telecom industry context; understand legal aspects of pricing; and how to leverage data for gaining newer customer insights.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 8: Marketing.

The financial success of dairy farms depends critically on the price of their main output, milk. Large volatility in the price of milk poses a considerable business risk to dairy farms. This is particularly true for family-run dairy farms. The question then arises: how can a farm owner hedge the milk price risk? The standard approach to establish a price floor for a commodity such as milk is to purchase put options on commodity futures. At the Chicago Mercantile Exchange, farmers can buy put options on the price of a variety of milk products. However, the price a farm receives for its milk depends on many factors and is unique to the farm. Thus, a farmer cannot directly buy put options on the price he receives for the milk his farm produces. Instead the farmer needs to determine which of the options available for trade at the Chicago Mercantile Exchange offer the best hedge for his own milk price. The assignment in this case is to examine historical data on several prices of milk products and the milk price received by a family-run dairy farm in California. Students need to find the price that is most closely correlated to the farm's milk price and to then choose options with the appropriate strike price that serve as the best hedge for the farm's price risk.

The objective is to expose students to an interesting but simple finance application of linear regression analysis. To solve the case, students must run several simple linear regressions, then use the best regression model they find to make a prediction for the dependent price variable and analyze the prediction interval in order to achieve the desired objective outlined in the case. By completing the case, students will acquire a good understanding of their regression model and its usefulness.

The main pedagogical objectives of the case are: illustrate how Latin American companies dedicated to the production and harvesting of commodities can be vertically integrated to gain a larger share of the value created throughout the production chain. Understand how futures and options contracts in commodities can be used to hedge price risk on long and short positions in the underlying products. Understand how option contracts add value by hedging risk in those contexts where the counterparty has optionality. Discuss the implications of Fair Trade for commodity traders and producers.

In the case, Hernan Arosamena, CFO of The Specialty Coffee Trading Co. (TSCT), faces the challenge of designing an effective strategy to hedge the price risk caused by the increasing demand of the so-called Fair Trade coffee. Hernan Arosamena decides to review how the company has typically managed the price risk in its business transactions using future contracts to then incorporate the additional elements that trading Fair Trade coffee may entail. The typical price risk hedging strategy involves the use of coffee future contracts in long and short positions to ensure that the company obtains the desired margin in its coffee trading negotiations. To hedge the exposure to the risk of fluctuations in the price of coffee when the company sells Fair Trade coffee requires the additional use of put options.

The case is appropriate for students enrolled in courses or specialization programs at both the undergraduate and graduate levels.

Teaching notes are available for educators only.

CSS 5: International Business.

Steve Meyer, the chief marketing officer at Trilogy, was evaluating the best way to move forward with an innovative, customer value-based pricing approach for its enterprise software solutions. Trilogy had radically transformed its business from a product-centric organization to a customer-centric one, and value-based pricing was a pillar of this transformation. Meyer had to evaluate three pricing approaches: traditional license based, subscription based, and gain sharing. He had to assess which pricing approach Trilogy and Trilogy's clients would prefer and the conditions under which gain-sharing pricing would work. Meyer also had to address several adoption barriers that prevented customers from embracing the gain-sharing pricing approach.

Risk managers have more tools than ever to help protect their companies from risk. Complex financial instruments, intricate mathematical models, and access to massive amounts of data can help the risk manager structure a multifaceted strategy to decrease volatility and protect the company from a catastrophic event. However, these tools have their own risks that can complicate a risk manager's job.

Analyzing corn price volatility helps students understand four best practices for risk managers, regardless of the specific risks they face or the strategies they employ: quantify the company's exposure; understand the nature of the risk; understand how the hedge works in practice; and separate hedging and speculation.

Pricing of natural gas in India suffers from asymmetry because of the presence of limited suppliers having byzantine contracts. The oligopolistic market combined with price regulation results in welfare losses, and market failure. We argue that for the sake of long-term development of natural gas sector in fast developing economies like India, the long-run marginal cost (LRMC) seems to be the most suitable pricing policy. In the case analysis, we present a theoretical framework of calculating LRMC while acknowledging that the conditions necessary for a ‘first-best world’ rarely exist. We conclude that it is very much possible to gradually move from the existing ad-hoc pricing mechanism to a more robust LRMC regime that takes into account not just the production cost but also a scarcity premium as well as any externalities resulting from the natural-gas fuel cycle. The outcome based on our model compares very well with the one from the Rangarajan Committee's formula that got the government's nod recently for fixing of price of indigenously produced natural gas, to be effective from 01st April 2014.