Over-investment in corporate R&D,risk, and stock returns

Large-size firms which significantly increase their R&D expenditures experience subsequently three-year-long negative abnormal stock returns on the magnitude of 56 basis-points per month. We find no robust evidence of significant event-induced abnormal returns for small-size sample firms or any systematic risk changes for the small- and large- size firms. We also find that the large-size sample firms generate relatively much larger cash flows (i.e., have significantly greater over-investment discretion) and have significantly larger (over-) valuation multiples than the small-size firms. Moreover, some of their operating performance measures show signs of deterioration instead of improvement following these R&D programs. These findings are consistent with the view that investors initially underestimate the over-investment in R&D by some large-size firms that appear to be overvalued and have high cash flows at the time of the investment, only to be disappointed later.     

Abnormal research and development investments and stock returns

We investigate the relation between abnormal research and development (R&D) investments change and expected stock returns. We provide evidence that firms that abnormally increase their R&D investments (RDI) earn higher returns in comparison to the market portfolio. Specifically, our findings document an economically significant annual positive abnormal RDI returns that ranges from 3.2% to 11.5%. These findings are robust to well-established risk factors in the literature and suggest that the abnormal increases in RDI impacts stock returns.     

The impacts of family involvement on R&D investment intensity in firms: Evidence from China

Drawing on the perspective of socioemotional wealth, this paper explores the types of family involvement in family firms and their impacts on R&D investment intensity. Using data from the forecasts issued by A-share family firms listed on Chinese stock markets between 2008 and 2019, the study finds that the separation of ownership and control is negatively associated with R&D investment intensity in non-high-tech firms, whereas potential gains of socioemotional wealth from R&D activities by high-tech firms produce a positive influence that offsets the negative impact of the separation of ownership and control on R&D investments. It reveals the importance of gains of socioemotional wealth. In contrast to the separation of ownership and control, family involvement in management is negatively associated with firms’ R&D investment intensity in both high-tech firms and non-high-tech firms. Our results capture the diversity of family members’ identity recognition, which leads to family members’ different evaluations of the potential gains and losses of socioemotional wealth. Overall, the distinction between high-tech family firms and other family firms is shown to be significant, as is the distinction between the impacts of different types of family involvement.

     

Cooperative R&D ventures: Strategic behavior versus transactional efficiency

This paper examines a sample of 48 cooperative R&D ventures announced in the period 1983–1990 to determine their impact on the stock price of the announcing firms. It finds that the venturing firms earn statistically significant positive abnormal returns over periods surrounding the announcement date. These gains are greater than those that result from announcements of increases in expenditures on in-house R&D. The cross-sectional analysis reveals that abnormal returns to the venturing firms are independent of industry concentration, larger in international ventures than in domestic ventures, and equal in cooperative agreements and equity joint ventures. These results support the transactional efficiency perspective of cooperative R&D ventures and suggest that the relaxation of antitrust laws as they apply to cooperative R&D ventures in 1984 is a welfare-improving policy.     

Do investments in intangible customer assets affect firm value?

This paper develops a simple model of investment by service firms in intangible customer assets, and tests whether the model identifies some critical drivers of firms’ stock returns. Similar to firms with significant research and development (R&D) expenditures, we argue that firms in fast-growing service industries with few tangible assets can increase firm value by investing in customer acquisition and service (A&S) expenditure. Using a unique hand-collected data set, we show that per-customer changes in firms’ revenues, customer acquisition costs, and customer service costs help to explain their abnormal stock returns.     

The negative impact of R&D capitalization: A value relevance approach

Abstract

Accounting for R&D costs is an open issue. SFAS N°2 mandates that all R&D costs must be immediately expensed. IAS 38 requires capitalization of R&D costs if they meet certain criteria. Recent research papers show the value relevance of capitalized R&D. We test the value relevance of R&D reporting in a sample of 197 French firms between 1993 and 2002. The French context provides an interesting field for R&D value relevance studies because both accounting treatments of R&D costs (expensing and capitalization) are allowed. Unlike previous studies, we find that capitalized R&D is negatively associated with stock prices and returns. This negative coefficient on capitalized R&D implies that investors are concerned with and react negatively to capitalization of R&D. We also find that the firms choosing to capitalize (successful) R&D are smaller, more highly leveraged, less profitable and have less growth opportunities. Taking into account these characteristics, our robustness checks confirm that capitalized R&D is not associated with higher prices and is related to lower returns.     

Selecting balanced portfolios of R&D projects with interdependencies: A Cross-Entropy based methodology

The intensive growth of technology makes firms rely on research and development (R&D) activities in order to adapt to technology changes in an ever-changing and uncertain environment. Due to R&D budget constraints and limited resources, firms are often forced to select a subset of all candidate projects by means of project portfolio selection techniques mitigating the corresponding risks and enhancing the overall value of portfolio. Projects' interdependencies and types were rarely considered in existing models of R&D portfolio selection that may result in selecting wrong projects. This flaw hinders the projects alignment with corporate objectives and strategy and leads to excessive risk and missing the promised values. In this paper, a balanced set of R&D project evaluation criteria was proposed. Next, to construct R&D project portfolio, a 0–1 nonlinear mathematical programming method for balancing portfolio values and risks was proposed, in which research projects' interdependencies, types and other constraints were all considered. Finally, a Cross-Entropy algorithm was developed to solve the proposed model and results were reported. The algorithm proved to be very effective in terms of solution quality and computational time. The proposed algorithm especially suits large scale instances while exact approaches are doomed to fail.     

Asset sales and takeover threats

This research addresses the question of whether the existence of a recent takeover threat affects the market reaction to a subsequent sale of assets. The effect of a prior takeover threat on the stock price reaction to an asset sale is examined from the perspective of both the buying firm and the selling firm. The total gains to the transaction are estimated as a market weighted average of the abnormal returns to the two firms. The results show that when there has not been a recent takeover threat on the selling firm, abnormal returns are significantly positive for the seller, the buyer and in total. However, if the selling firm has faced a takeover threat within the previous year, the abnormal returns upon announcement of an asset sale are insignificant for the seller, negative for the buyer, and negative for a portfolio of the two. Hence, the market has a lower estimate of the overall gains in transactions that follow takeover threats on the selling firm; in fact, these transactions result in a net wealth reduction.     

The Relationship Between Stock Market Returns and Technical Efficiency Innovations: Evidence from the US Airline Industry

This paper analyzes the association between two firm performance measures: stock market returns and relative technical efficiency. Using linear programming techniques (Data Envelopment Analysis and Free Disposal Hull), technical efficiencies are calculated for a panel of eleven US airlines observed quarterly from 1970–1990. A relationship, between efficiency news in a quarter and stock market performance in the following two months, is found. A risky arbitrage portfolio strategy, of buying firms with the most positive efficiency news and short-selling those with the worst news during this time frame, results in zero beta risk yet yields annual returns of 17% and 18% for the two methodologies.     

An analysis of firm-level innovation strategies in the US biotechnology industry

This study examines factors that may affect innovation strategies and performance of firms in the biotechnology industry. Specifically, differences between factors common to firms with high R&D intensity and those to firms with low R&D intensity are investigated. Biotechnology firms with relatively higher levels of R&D intensity attribute their innovation performance to research-based innovation factors and strategies such as strengthening their own research capabilities, entering into research collaborations with universities, industry leaders and other biotech firms, and licensing their technology. These strategies can be summarized as alignment within the industry. Firms with relatively lower R&D intensity have a hybrid focus—they invest in R&D but may also have products on the market. These firms attribute their innovation performance more so to production-based innovation factors and strategies such as gaining market access and maintaining connections with customers. Their strategy focuses on competitiveness, marketing, and distribution channels, while not ignoring the importance of a strong research base and the need to advance technologically. In a sense, strategies employed to achieve successful innovation reflect the stage of innovation in which a firm is operating for a particular product or process.     

Industry evolution and R&D externalities

R&D externalities can imply ranges of aggregate increasing returns to scale in R&D. As a consequence several equilibria can exist involving different numbers of firms and different R&D investment levels. In a theoretical model the equilibrium dynamics are analyzed, showing that cyclical fluctuations of the number of firms and R&D investment may be expected, and that the long-run equilibrium is highly sensitive to investors' initial beliefs. The model is tested empirically using a unique database comprising competing firms in various R&D races.     

Capitalization of R&D and the Informativeness of Stock Prices

Abstract

This paper presents both a new approach to studying the consequences of accounting choice and a unique sample to examine the effects of accounting choice in the R&D context. We investigate the effect of firms' decision to capitalize R&D expenditures on the amount of information about future earnings reflected in current stock returns, as captured by the association between current-year returns and future earnings (FERC). We use a sample of UK firms, which includes both R&D capitalizers and expensers. An important feature of our tests is our use of a two-equation system to control for the endogeneity of the accounting choice (i.e. self-selection). Proponents of capitalization claim that it enables management to better communicate information about the success of projects and their probable future benefits. Consistent with this, we find that capitalization is associated with higher FERC than expensing.     

Home market effects with endogenous costs of production

In a standard imperfect competition model, we endogenize the costs of production of firms in the increasing returns sector (IRS) via process R&D. We show that firms in the larger region in terms of demand invest more in R&D (i.e.: they are bigger in size and have lower marginal costs) than firms in the smaller region, since the former exploit larger economies of scale in production to pay for the costs of R&D. As a result, when the return on R&D is high, the larger region does not employ disproportionately more labor nor attracts a disproportionately larger share of firms in the IRS in relation to share of demand it hosts, i.e.: negative home market effects (HMEs) in employment and in the number of firms. When this occurs, only partial agglomeration of the IRS in the larger region is sustainable in equilibrium. Even so, the larger region always runs trade surplus in the IRS, i.e.: HME in trade patterns.     

The relationship between the valuation effect of equity financing and firm-specific characteristics

The findings of this study indicate that although the overall announcement effect of equity offerings is negative on the issuing firms' common stock prices, 23 percent of the sample firms have a positive two-day announcement period stock abnormal return (CAR). Further tests show that firms in the positive CAR group have significantly higher research and development (R&D) and profitability than firms in the negative CAR group, while the average leverage ratio of firms in the positive CAR group are significantly lower. Results of the regression analysis suggest a positive relation between the price effect and R&D as well as the profitability ratio. It also is found that only in the sample of large R&D firms is the magnitude of R&D significantly associated with the magnitude of announcement effect.     

Sarbanes-Oxley wealth effects: focus on technology firms

We evaluate the shareholder wealth effects surrounding the passage of the Sarbanes-Oxley Act (SOX). While other studies have also measured wealth effects, none has separately examined technology firms. We discuss the unique characteristics of technology firms and assess whether technology firms are differentially affected. Our results show the portfolio of 218 technology firms experienced significantly more favorable wealth effects than the portfolio of 940 non-technology firms in response to events indicating stringent reform legislation. The cross-sectional analyses suggest that board independence, growth expectations, and R&D expenditures are influential factors in the differential stock price response of technology firms. Across our full sample of 1,158 firms, we find that wealth effects are less favorable for firms that likely will incur high compliance costs and more favorable for firms that are expected to benefit from improved governance and improved transparency.     

Technology sourcing and outward FDI: A study of IT industry in India

Dunning’s eclectic or the OLI framework suggests that MNCs exist and grow due to possession of ownership (O) advantages consisting of the tangible and intangible assets of the firm (including technology); location (L) advantages consisting of production factors such as transportation, infrastructure, and human and natural resources available in the host country; and internalisation (I) advantages owing to firm’s competitive advantage in producing internally rather than selling or licensing technologies to others. There are several studies that have analysed MNCs of developed country origin from the perspective of both developed (home) and other developed or developing (host) countries. Recently, however, MNCs from developing countries are also making their presence felt in the world. Yet, there are hardly any studies that analyse MNCs of developing country origin.Using data on 130 firms from the high-tech Information Technology (IT) industry of India, we investigate whether ownership advantages (O), as proposed in the eclectic theory, holds true for the presence of MNCs from developing countries. Specifically, we analyse whether firm-specific technological advantages generated through differential technology sourcing at home (India) are important in determining inter-firm differences in the decision to invest abroad. The technological sources considered are in-house R&D efforts, import of designs, drawing and blueprints, and import of capital goods. The study reveals that in-house R&D efforts are indeed important for the firms to invest abroad. Size and export intensity of the firm also influence the decision of the firm to invest abroad. The study recommends a proper innovation and resource management strategy for developing country firms for efficient allocation of resources, technology sourcing, and technology assimilation.     

A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification

This paper assesses the impact of Research and Development (R&D) spillovers on production for a panel of 1,203 Italian manufacturing firms over the period 1998–2003.The estimations are based on a nonlinear translog production function augmented by a measure of R&D spillovers which combines the geographical distance between firms, the technological similarity within each pair of firms and the technical efficiency of each firm. The estimation method takes into account the endogeneity of regressors and the potential sample selection issue regarding the decision by firms to invest in R&D. Results show that the translog production function is more suitable than the Cobb-Douglas for modelling firm behaviour and that returns to scale are increasing. Moreover, the internal and external stocks of technology exert a significant impact on firms’ production. Finally, it emerges that, for Italian manufacturing firms, R&D capital and R&D spillovers are highly substitutes.     

上海A股市场分析师分歧对未来股票回报的预测性研究

本文采用2004年9月至2009年5月间相关数据,通过组合构建策略,分别控制了市值效应、账面值市值比效应和动量效应,发现上海A股市场上分析师分歧对未来股票回报不具有预测性,并分析了造成这一现象的主要原因,进一步在此基础上提出了促进我国证券分析师行业规范化发展的一些政策建议。     

Intangible investment in people and productivity

Organizational activity, information and communication technology work, and research and development (R&D) can be classified as work that creates intangible capital. We measure the returns to these three types of labor input by accounting for differences in their productivity compared with other labor inputs using Finnish firm-level data from 1998 to 2008. We apply a novel idea to use hiring as one proxy for productivity and demand shocks. We find that organizational workers increase total factor productivity and improve the profitability of high-productivity firms. R&D workers account for a large share of intangible capital; however, the returns to R&D are low. Investments in organizational competence are more likely to result in more rapid productivity growth. Firms with performance-related pay or domestically owned firms with extensive foreign activities have been among the highest performers with respect to the use of organizational work.     

Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors

The main objective of this study is to investigate the impact of corporate research and development (R&D) activities on firm performance, measured by labour productivity. To this end, the stochastic frontier technique is used on a unique unbalanced longitudinal dataset comprising top European R&D investors over the period 2000–2005. In this framework, this study quantifies technical inefficiency of individual firms. From a policy perspective, the results of this study suggest that if the aim is to leverage firms’ productivity, the emphasis should be put on supporting corporate R&D in high-tech sectors and, to some extent, in medium-tech sectors. On the other hand, corporate R&D in the low-tech sector is found to have a minor effect in explaining productivity. Instead, encouraging investment in fixed assets appears important for the productivity of low-tech industries. Hence, the allocation of support for corporate R&D seems to be as important as its overall increase and an ‘erga omnes’ approach across all sectors appears inappropriate. However, with regard to technical efficiency, R&D intensity is found to be a pivotal factor in explaining firm efficiency and this turns out to be true for all industries.