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This study aims to investigate the valuation accuracy of Malaysian initial public offerings (IPOs) by using price-multiple methods.

Cross-sectional data including 467 IPOs listed on the Malaysian stock exchange were used for the period of 2000–2017. This study used univariate ordinary least square (OLS) regression to analyse the relationship between IPOs’ price-multiples and comparable firms’ price-multiples. The test of valuation accuracy was conducted via computing valuation errors by segregating the sample into two groups: fixed-price IPOs and book-built IPOs. Furthermore, multiple OLS regression was used to examine the influence of IPO valuation on underpricing.

The findings of the results suggested that IPOs price-to-earnings (P/E), price-to-book (P/B) and price-to-sales (P/S) multiples were positively related to the median P/E, P/B and P/S multiples of five comparable firms matched by industry and revenues. The P/S multiple was shown to be the most significant valuation method, specifically in book-built IPOs. The findings indicated that those firms that had a lower valuation in comparison to the comparable firms were inclined to underprice their IPOs to allure investors to subscribe IPOs. In addition, book-built IPOs that had fair valuations were inclined to generate higher initial returns for investors.

The findings of this study observed implications for underwriters in avoiding the mis-valuation issue by considering the book-building mechanism.

This study attempted to explore the suitability of the valuation method to value IPOs in Malaysia.

This paper aims to examine the association of accruals and disaggregated pension components with future cash flows and also to investigate whether investors distinguish between pension information that is recognized (SFAS 158) versus disclosed (SFAS 132).

Regression analysis is used with a proxy for expected future cash flows as the dependent variable, and the components of pension disclosures as well as controls for the 2008-2009 financial crisis as the independent variables.

The results reveal that incorporating disaggregated pension components increases the ability to predict future cash flows, and that investors attach different pricing multiples to the various components in the models. The authors also find that during the 2008-2009 financial crisis, the signs of the coefficients on these components changed. Finally, the results indicate that investors assign more significance to pension accounting information that is recognized, as opposed to disclosed, and that disclosure affects the allocation of pension assets.

The authors provide empirical support for the conjecture posited by Amir and Benartzi (1998) that the prediction of future cash flows will be enhanced by the incorporation of the components of pension assets and liabilities. Importantly from a standard setting perspective, the authors also find evidence that investors assign more significance to pension accounting information that is recognized in the financial statements than to pension information that is disclosed.

Aims to examine a comprehensive approach to combine several simple multiple valuation, so as to improve the valuation, accuracy of the simple multiple valuation technique.

In order to combine several simple multiple valuations, the equity value is estimated by a weighted average of the valuation outcomes obtained from several simple multiple valuations. To calculate the weight of each valuation outcome, the out‐of‐sample price‐deflated regression of stock prices on several simple multiple valuation outcomes is conducted. Next, the alternative hypothesis of whether the composite approach yields a higher valuation accuracy than the simple multiple valuation is tested, using the actual stock price of the valued firm as the benchmark to measure the valuation accuracy under the assumption of market efficiency.

It was found that combining several simple multiple valuation outcomes of a firm, each of which is based on a stock price multiple to a historical accounting performance measure of the comparable firms (historical multiple), improves the valuation accuracy of the simple multiple valuation using a single historical multiple. However, further analysis shows that the combination of the simple multiple valuation outcomes based on a stock price multiple to analysts’ earnings forecasts of the comparable firms (forward earnings multiple) and several simple multiple valuation outcomes based on historical multiples does not improve the valuation accuracy of the simple multiple valuation using a forward earnings multiple.

One caveat of this study is that only the linear combination of the simple multiple valuation outcomes is considered. Non‐linear combination of the simple multiple valuation outcomes based on both forward earnings multiple and historical multiples may be able to improve the valuation accuracy of the simple multiple valuation using a forward earnings multiple. This possibility is still an open question.

The findings imply that a historical multiple contains incremental information not captured by other historical multiples, which is useful for the improvement of the valuation accuracy. However, the historical multiples may have no incremental information beyond a forward earnings multiple.

The forward earnings multiples as well as the historical multiples for the equity valuations of broader firms are considered. Given the previous finding that forward earnings multiple presents the highest valuation accuracy among the valuation multiples, it is further investigated whether the composite approach using forward earnings multiple and historical multiples can improve the valuation accuracy of the simple multiple valuation using a forward earnings multiple. In addition, the potential problem of selection bias in the previous study is addressed, which examines only the equity valuations in the tax court.

Pricing, Marketing Management, Strategic Marketing, Strategic Management.

The case can be used for a Pricing Course and Strategic Marketing, Marketing Management and Strategic Management courses delivered to post-graduate management programme (Master’s level) students and/or for Management Development Programme’s.

Alliance Intercontinental Sourcing Company LLP (ALLISCO) manufactured Steel Blanks for clutch plates used in two- and three-wheeler automobiles. Steel Blank plates further underwent a processing phase which included coating with leather cover to form the finished clutch plate. The primary raw material used by ALLISCO for its manufacturing process was sheet metal. The processing of the principal raw material resulted in the production of three joint products. The first joint product was “Steel Blank”, the main product; the second joint product was “Inner Circle”, which may be classified as a by-product; the third joint product was the left-over waste material and could be categorized as sheet scrap. The approximate increase in procurement cost of 8 per cent had considerably impacted the firm’s profit margins. The dilemma that Rishabh Singla, Managing Partner, ALLISCO, now faced was how the increased differential could be distributed systematically among the three joint products. The challenge for ALLISCO was to preserve the percentage of gross profit margins by altering its existing pricing strategy.

Understand the concept of multiple joint products; learn about choosing appropriate pricing strategies to price multiple joint products; comprehend how value-based pricing can extract untapped profits; and understand the importance of retaining gross profit margins (%).

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

The purpose of this study is to examine the influence of underwriter reputation on the valuation of Malaysian initial public offerings (IPOs).

This study employed cross-sectional multiple regression models to analyse the relationship between underwriter reputation and IPO valuation that included 466 IPOs listed on Bursa Malaysia from 2000 to 2017.

The results revealed that underwriter reputation had a significant negative association with IPO valuation. Firms that engaged the services of reputable underwriters had their IPO offer prices set lower than the intrinsic values during the listing. After incorporating firms' size, this study found a positive relationship between underwriter reputation and IPO valuation. Big firms (high quality) hired reputable underwriters for certification purposes as issuers were aware that the cost of hiring a reputable underwriter would be justified by increased transparency after listing. Therefore, firms that engaged reputable underwriters had approximately fair values since issuers assumed that the price would be close to the intrinsic value following enhanced transparency post-listing.

Future studies should focus on other non-financial factors, such as auditor reputation.

The present study provides new insights into the certification role of underwriters in valuing IPOs in the Malaysian market.

This study aims to investigate the variation in overvaluation proxies and volatility across industry sectors and time.

Using industry sector data from the S&P Capital IQ database, this study applies traditional cross-sectional regressions to investigate the relationship between overvaluation and volatility over the 2001–2020 time period.

This study finds that the most volatile industry sectors generally do not coincide with overvalued industry sectors in the cross-section, implying that there are limitations to price-multiple methods for forecasting future volatility. Rather, this study finds that historical volatility significantly increases the goodness-of-fit when modeling volatility in the cross section of industry sectors. The findings of this study imply that firms should increase disclosures and transparency about corporate practices to decrease downside risk that stems from bad news. In addition, the findings underline the consistency between market efficiency and high levels of volatility in periods of significant uncertainty.

This study proposes a novel approach to examining the cross section of volatility across time for industry sectors.

The case illustrates the application of the prospect theory to risk-seeking investor behavior. It also provides an example that standard valuation methods such as discount cash flow), discount divided model and price multiples are not always applicable to value a stock. The students are exposed to a real situation where investors turn risk-seeking. The case offers insights into why irrational investors are attracted to risky assets and their probable socio-demographics.

This case illustrates a case when investors become risk-seeking and how the prospect theory explains the investors’ risk appetite. Energy Earth PCL is a coal importer and distributor incorporated in Thailand. Its shares had been suspended for trading before the Stock Exchange of Thailand allowed temporary trading in July 2019. A series of unfavorable events leading up to the temporary trading period suggest that the company’s financial health was severely distressed. Its book value was presumably negative and its going concern was threatened. However, investors still bought the shares with the hope of hitting the jackpot. The case presents an example of the psychological aspects of humans when investing in a stock market. With an application of the prospect theory, irrational risk-seeking behavior explains the motivation to invest in risky stocks.

Introductory finance course.

Teaching notes are available for educators only.

CSS: 1 Accounting and Finance.

This study aims to investigate the factors that contribute to the overall tour experience and services provided by Top Tier Holidays. The study is mixed in nature, and the researchers have used analytical tools to analyse the data factually. Multiple regression using MS Excel is used in the study.

This case is based on the experiences of a real-life travel and tour company located in New Delhi, India. The case helps understand regression analysis to identify independent variables significantly impacting the tour experience. The CEO of the company is focused on improving the overall customer experience. The CEO has identified six principal determinants (variables) applicable to tour companies’ success. These variables are hotel experience, transportation, cab driver, on-tour support, itinerary planning and pricing.

Multiple regression analysis using Microsoft Excel is conducted on the above determinants (the independent variables) and the overall tour experience (the dependent variable). This analysis would help identify the relationship between the independent and dependent variables and find the variables that significantly impact the dependent variable. This case also helps us appreciate the importance of various parameters that affect the overall customer tour experience and the challenges a tour operator company faces in the current competitive business environment.

This case is designed for discussion with the undergraduate courses in business management, commerce and tourism management programmes. The case will build up readers’ understanding of linear regression with multiple variables. It shows how multiple linear regression can help companies identify the significant variables affecting business outcomes.

The purpose of this paper is to examine the relationship between electronic journal downloads and citations and whether online electronic resource usage can be adopted as an alternative to citation for evaluation of scholarly discourse.

A consolidated 16 publishers’ COUNTER usage data of UGC-Infonet members was collected from INFLIBNET Centre. The usage was meticulously filtered from UGC-subscribed journals and institutional subscriptions. The quantitative data were analysed to establish the relationship between download, impact factor (IF) and price. Multiple regression analysis was used to assess the influence of price and IF on usage and to predict the usage when they are known and the threshold for significance was set at p < 0.05.

There exists a relationship between IF and downloads of journals in UGC-Infonet. Journal IF and price significantly influence usage, where journal IF plays an important role in the intensity of the use. Also, the top 25 hottest downloaded papers were journals with IF; hence, no journal without IF featured in the top 25 most downloaded journals in the consortia. The relationship between the top 25 IF journals in the consortia and download is strong (r = 0.368537).

The only account that reports on the relationship between journal IFs and downloads for UGC-Infonet consortia. Also, the influence of usage behaviour with respect to citation and price of a journal.