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In early January 2013, a product manager with one of the leading insurance companies in Delhi, India, sat in his home office and pondered the strategy he had followed for his personal investment portfolio over the last three years. He was worried that talk of tapering off the U.S. Federal Reserve's Quantitative Easing Program, undertaken in the aftermath of the 2008 global financial crisis, and the Indian general elections in May 2014 might affect the value of his investments. In order to achieve higher risk-adjusted returns, he was considering diversifying his all-equity portfolio by adding gold. Before he went ahead, he needed to test the data by using past returns, standard deviations and correlations and then use the Sharpe Ratio to compare the risk-adjusted returns of the diversified portfolio (comprising gold and equity) vis-à-vis an all-equity portfolio.

This case describes the introduction of a regression analysis model for forecasting guest arrivals to Caesars Palace hotel in Las Vegas, Nevada. The company will use the forecast to staff the front desk in the hotel. The staff is unionized and the company has little flexibility to change staffing levels on a short-term basis. The case is set in the context of industry overcapacity and lower customer demand. The case describes several models that could be used to forecast guest arrivals, including a moving average technique and a multiple regression model. The multiple regression model includes over 40 independent variables, including dummy variables (e.g., to represent day of week, month, year, holidays, paydays) as well as continuous variables to represent customer segment and average daily room rate. The case contains tables showing the output of the regression model, and compares the fit of the moving average and regression models. The case allows students to understand how such a model is developed within an organization and to evaluate the models presented. Students may work with a data file with several years of historical data or they may work with the model description and output results in the case.

In early 2014, the senior vice-president of the Ontario Teachers' Pension Plan is considering two investment opportunities in the oil and gas industry brought forward by his team. He is trying to understand how to ensure that the principles underpinning responsible investing are incorporated in the decision about which to choose. Each investment looks very attractive, but a growing stream of controversies surrounding oil sands extraction, pipeline safety and environmental protection has raised concerns. He faces multiple questions: How can the impact of these environmental, social and governance issues be quantified precisely? Can they be translated into an informed investment decision that the organization’s stakeholders will accept? What approach to responsible investing is appropriate for a pension fund? What alternative methods of incorporating these issues into the investment decision process should be considered?

In 2014, Arjun Dhawan (MBA 2004), president of HCC Concessions, is working toward the completion of his largest road development project yet. The route, a 250-km stretch leading from the critical eastern Indian port of Kolkata into the interior of the province of West Bengal, is a prime example of both the benefits and the drawbacks of public-private partnerships in the Indian transportation sector. Despite delays and political pressure, HCC Concessions has nearly finished building the road and now is receiving offers to purchase the project's equity.

Spreadsheet supplement for case 215016.

One of the biggest challenges for multinational corporations (MNCs) is to determine and consolidate their borders. In order to do so, MNCs increasingly strive to create value innovation, particularly within their internal capital market. Accordingly, their corporate treasury functions have witnessed three stages of major evolution in the 21st century.

In April 2012 Bill Nichols, a financial analyst at the real estate investment firm Koenig Capital, was about to enter a unique lease renegotiation. One of Koenig's tenants, Hasperat Inc., had sixteen years left on its long-term lease of the Kelley Building, a 165,000-square-foot office building in downtown Cleveland. The lease contained a clause giving Hasperat the option to buy the Kelley Building from Koenig. When Nichols tried to place a mortgage on the property to take advantage of low interest rates, he learned that the existence of this option in the lease contract prevented lenders from offering Koenig their lowest rates. As a result, Nichols had been tasked with renegotiating the lease to remove the option clause. This unexpected event offered Nichols the opportunity to use his financial skills. He needed to calculate the fair value of the purchase option to be able to justify to his superiors by how much they should compensate Hasperat. Students will step into the role of Bill Nichols and apply real options modeling techniques to value the purchase option in Hasperat's lease.

The Indian online retail ("e-tail") market had seen a flurry of activity. Success stories such as Makemytrip.com and Naukri.com in the travel and job search domains, respectively, were significant catalysts for this new breed of start-ups. Of these start-ups, Flipkart stood out as one of the most successful (and audacious) - mostly because of the funding the company managed to secure over a very short period of time as compared to its competitors. The firm was celebrated for its bold stance on growth versus profitability but simultaneously had its share of critics and skeptics. The latest round of venture capital funding had valued Flipkart at $1.6 billion, nearly eight times sales. In less than two years, the firm had attracted nearly $550 million in venture capital funds and its sales turnover had grown nearly 30-fold. Was Flipkart growing too big too soon? Were these valuations justified?

The Indian online retail ("e-tailing") market had seen a flurry of activity. Success stories such as Makemytrip.com and Naukri.com in the travel and job search domains, respectively, were significant catalysts for this new breed of start-ups. Of these start-ups, Flipkart stood out as one of the most successful (and audacious) - more so because of the funding the company managed to secure over a very short period of time as compared to its competitors. The firm was celebrated for its bold stance on growth versus profitability but simultaneously had its share of critics and skeptics. The latest round of venture capital funding had valued Flipkart at US$1.6 billion, nearly eight times sales. In less than two years, the firm had attracted nearly $550 million in venture capital funds and its sales turnover had grown nearly 30-fold. Was Flipkart growing too big too soon? Were these valuations justified?

Landmark Facility Solutions presents a situation in which a medium-sized facility management company assesses whether to acquire a larger facility management company that is known for its high-quality services and technical expertise. The acquirer believes the acquisition will help it to become an integrated facility manager and enter new industries in its home market. The case focuses on valuing the acquisition opportunity and choosing the right financing for the transaction. It explores the interaction between corporate investment and financing, and sets the stage for discussions about capital structure decisions. The case can be used in first-year MBA courses in corporate finance and financial strategy or second-year MBA courses in mergers and acquisitions and advanced corporate finance. It also can be used in an undergraduate finance course that covers mergers and acquisitions.

Spreadsheet Supplement for Product #915527.

The Indian online retail (“e-tailing”) market had seen a flurry of activity. Success stories such as Makemytrip.com and Naukri.com in the travel and job search domains, respectively, were significant catalysts for this new breed of start-ups. Of these start-ups, Flipkart stood out as one of the most successful (and audacious) — more so because of the funding the company managed to secure over a very short period of time as compared to its competitors. The firm was celebrated for its bold stance on growth versus profitability but simultaneously had its share of critics and skeptics. The latest round of venture capital funding had valued Flipkart at US$1.6 billion, nearly eight times sales. In less than two years, the firm had attracted nearly $550 million in venture capital funds and its sales turnover had grown nearly 30-fold. Was Flipkart growing too big too soon? Were these valuations justified?

Between 2010 and 2012, SolarCity experienced tremendous growth in an industry that was generally perceived to be struggling. Many other solar start-ups were failing-Solyndra, which had received a $535M loan from the U.S. government, was the highest profile failure, declaring bankruptcy in September, 2011. Lyndon Rive noted, "Investors have been burned so badly from the solar sector. We've faced that stigma while selling our company to investors." Despite that burn, however, SolarCity went forward with an initial public offering (IPO) in December of 2012 at an IPO price of $8.00 per share. By end of the second quarter, 2014, SolarCity operated in 15 states and the District of Columbia and boasted 140,000 customers. It controlled 36 percent of the residential solar market but had never posted a profit-in 2013 it had a net loss of almost $152 million. SolarCity's growth, however, drove the stock price up, hitting a high of $86.14 in February 2014. The company's continued lack of positive accounting earnings, yet impressive stock returns, left analysts and industry observers wondering: Was SolarCity already making money on installations like the Partnership Flip Model or was the company's share price primarily a bet on the future with lower solar installations costs? This case describes SolarCity's business model and summarizes key issues in the solar industry. It looks at tax equity financing, detailing the Partnership Flip Model which SolarCity used for about two thirds of the funds it had raised by 2014. The Partnership Flip Model is represented in an Excel spreadsheet that students manipulate to understand the implications of various factors.

This case describes how Codensa, an electricity company in Bogotá and Cundinamarca (Colombia), developed an easy-access consumer credit business model for low-income populations leveraged by the cost structure of its core business. Codensa offered consumer credit to low income populations through the Codensa Hogar business unit, by linking together a value chain of large retailers and manufacturers of household appliances. Codensa entered into this business as part of its commercial branding strategy, contributing its billing structure as credit collection instrument. During the first five years of the program, 95% of the 450,000 people who took out one or more loans belonged to the lower economic strata, and were between 25 and 45 years old. Sixty-six percent of Codensa users were people who did not participate in the formal banking system. After obtaining a credit history with Codensa, 45% of this population gained access to other financial services. Over the course of five years, Codensa Hogar surpassed the US$250 million mark in its credit portfolio, issuing loans up to three times the salary of electric bill holders. Nearly 50% of clients asked for new credit upon completing their payments. In 2006, the unusual growth rates of Codensa Hogar aroused concern among shareholders. If it were to sustain this rate, the surplus from the electric energy business would not be enough. Growth funds should be sought from within the company or from an outside source. However, members of the financial division disagreed. They argued that the funding cost that Codensa had to pay the electricity company should include an analysis of the risks assumed by the company. The difference between the commercial and financial visions posed a variety of challenges for general management. This case may be used in intermediate courses on financial management and strategy, financial strategy and corporate strategy or courses on business models oriented towards a "double bottom line."

Supplement for case SKE147.

Spreadsheet supplement for KEL843.

In this article, we describe various analytics in empirical/archival financial accounting research. We focus the discussion on research questions that are central to accounting research, analytics used to test hypotheses, and evidence. We also describe voice and text analysis, which is generating interesting new datasets and hypothesis tests, offering promising potential for future studies. Our study seeks to (1) inform business professionals about state-of-the-art analytics in accounting research and (2) trigger academics to pursue creative new research opportunities.

While access to private equity funds (PEFs) provides a unique opportunity for firms to set up sturdy growth paths, how PEFs select companies is an unknown process to entrepreneurs and business owners. This study aims to offer insights regarding the private equity market to entrepreneurs searching for external capital. We analyzed a novel dataset of 240 pre-deal negotiations between small- and medium-sized Italian companies and a closed-end fund. Results indicate that the successful closing of a deal depends on more than just the target firm's equity-worthiness (i.e., the company's ability to meet the expectations of a private equity investor). In fact, there is another dimension: the target firm's equity-willingness (i.e., the company's motivations to accept an outside equity investor). We summarize the results of our study by building a 2x2 positioning matrix on the basis of the target firm's equity-worthiness and equity-willingness. This matrix enables entrepreneurs to grasp how private equity investors evaluate their firms.

The largest consumer of gold in the world in 2012-2013, India was a growing market for gold jewellery, largely owing to its importance in the cultural and religious traditions of the country. Gold prices in international markets had been increasing, but this had little impact on India's voracious appetite for gold. Heavy gold imports had led to an increase in country's fiscal deficit above the sustainable level of 2.5-3% of gross domestic product (GDP) and touched 4.2% in FY2012. Velvetcase, a made-to-order jewellery company in Mumbai, had started operations in the beginning of 2013 and was concerned by the government's recent policies on gold imports. Among many other measures, the Indian government had raised import duty from 4% to 10% during the year. The increase in import duties raised input prices, consequently slowing the demand for gold jewellery to some extent. Velvetcase believed that its unique business model of making jewellery using low karat gold would not only satisfy India's passion for gold, but also result in improving the current account deficit (CAD) of the country by lowering the amount (in grams) of gold used in the making of jewellery.