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This study examines the five-factor model of Fama and French (2015) on the French stock market by comparing it to the Fama and French (1993)’s base model. The new Fama and French five-factor model directed at capturing two new factors, profitability and investment in addition to the market, size and book to market premiums. The pricing models are tested using a time-series regression and the Fama and Macbeth (1973) methodology. The regularities in the factor’s behavior related to market conditions and to the sovereign debt crisis in Europe are also examined. The findings of Fama and French (2015) for the US market are confirmed on the Paris Bourse. The results show that both models help to explain some of the stock returns. However, the five-factor model is better since it has a marginal improvement over the widely used three-factor model of Fama and French (1993). In addition, the investment risk premium seems to be better priced in the French stock market than the profitability factor. The results are robust to the Fama and Macbeth (1973) methodology. Moreover, profitability and investment premiums are not affected by market conditions and the European sovereign debt crisis.

This study analyzes small-sized asset owners’ optimal choice problems in selecting an outsourced chief investment officer (OCIO). While large-sized asset owners can select OCIOs through procurement auctions, it is difficult for small-sized asset owners to use this method. Instead, they access OCIO services by participating in an investment pool or utilizing OCIO funds. In this study, the authors compare the two OCIO selection methods. The authors construct an agent-based model for OCIO selection to reflect the heterogeneity in production efficiency and preferences. The results of this study imply that when the market has enough investment pools, the utility of all small-sized asset owners increases. To enhance the growth in the OCIO market, the investment pool should represent the preferences of small-sized asset owners and enable individual owners to find an appropriate OCIO.

This paper aims to investigate the explanatory power of the Fama-French five-factor model and compares it to the other asset pricing models. In addition, the paper examines the contributions of two additional factors: profitability and investment factor. The authors test the alternative four-factor models.

The authors use stock returns data of BSE-500 listed firms for the Indian market, an emerging market, from 1999 to 2020, thus covering the post-Asian crisis and pre- and post-financial crisis (2007–2008) periods. The authors employ 75 and 96 portfolios based on different factors. To check the performance of asset pricing models, the authors also used the GRS F-statistics and factor spanning tests.

The authors find that the five-factor model and alternative four-factor model outperform the three-factor model. Contrary to the findings for the US, but similar to the Chinese stock market, the value factor is significant for the Indian stock market. Simultaneously, the authors also find that the investment factor has no explanatory power in the presence of the profitability factor in their sample.

To the best of the authors' knowledge, this is the most comprehensive study using data more than two decades. These results are based on 75 (25 × 3) portfolios based on size, value, profitability and investment. The authors also tested these results based on 96 (32 × 3) portfolios to check robustness, and these results still hold. Furthermore, the authors find that factors based on 2 × 3 sorting have higher explanatory power than those based on 2 × 2 and 2 × 2 × 2 × 2 sorting.

The purpose of this paper is to investigate the impact of the macroeconomic condition on investment-cash flow sensitivity (ICFS) of Indian firms and examine whether the effect of macroeconomic condition on ICFS depends on the size and group affiliation of the firm.

An empirical investigation is conducted using a dynamic panel data model or more specifically system generalized method of moments (GMM) estimation technique.

Empirical findings postulate that the availability of cash flow influences the investment decisions which depicts that Indian manufacturing firms are internally as well as externally financially constrained. This study finds that good economic condition (period of high GDP growth rate) reduces the ICFS, although this effect is stronger for small-sized and standalone firms than the large-sized and business group affiliated firms. The authors find that macroeconomic condition has a positive and significant effect on investment decisions.

This study has considered only the non-financial sector. The future research could explore the effect of macroeconomic condition on ICFS might be affected by firm other characteristics such as firm age and firm capital structure.

The government should provide loan on the low rate to the small-sized firms and standalone firms because it is very difficult for these firms to finance their investment during the bad economic condition (period of low high GDP growth rate).

This study contributes to the existing literature by analyzing the impact of the macroeconomic condition on ICFS as well as investment decisions of the Indian manufacturing firms, which is an unexplored issue from an emerging market perspective. To the best of my knowledge, this is a first-ever study which explores the effect of macroeconomic condition on investment decisions with respect to business group affiliation and firm size.

This paper aims to investigate the effect of the nature of ownership and board characteristics on the investment choices in joint ventures (JVs) from the dimensional point of view, controlling for the effect of JV type and other components of intellectual capital.

The authors study a sample of Italian, Spanish, German and French nonfinancial listed firms over the 2010–2018 period, controlling for the fixed effects of the company's sector of operation and the year. The authors also analyze the effect of family control and influence on JV investment size, taking into consideration certain board characteristics, the type of JV, human capital efficiency, structural capital efficiency and capital employed efficiency while also controlling for a firm's profitability and size. To test the hypotheses, GLS panel data was used.

The results indicate that the size of the investment in JVs is smaller for family firms than for nonfamily businesses. The presence of CEO duality has an opposing effect on the size of the investment in joint ventures as it has a lowering effect in family businesses while it exerts an amplifier influence in nonfamily businesses. Moreover, the type of joint venture has a significant effect for family firms: the choice of a link joint venture reduces the size of the investment. The authors find that human capital efficiency increases JV investment size for all firms.

This study is the first to analyze the effect of the main dimension of socioemotional wealth – family control and influence – on a firm's JV investment size. It controls for the effect of JV type – link or scale – and the interplay of the other IC components.

It is well known that internal rate of return (IRR) and net present value (NPV) rankings of mutually exclusive investments are sometimes inconsistent. This inconsistency, when it occurs, requires decision makers to choose between the two ranking methods. The purpose of this paper is to deduce sufficient conditions for consistent IRR and NPV investment rankings of mutually exclusive investments.

Deductive reasoning is used to obtain the sufficient conditions required for consistent rankings of mutually exclusive investments.

There are different sufficient conditions (methods) that can be used to resolve inconsistent IRR and NPV rankings. However, the different methods do not necessarily produce the same consistent rankings. In particular, different size adjustment methods and reinvestment rate assumptions can produce different IRR and NPV consistent rankings. This paper suggests the appropriate criteria for selecting a particular method for ranking mutually exclusive investments.

Like all deduced models, the results apply only to the set of assumptions and preconditions adopted in the model. Furthermore, the application is to ranking mutually exclusive investments.

There is probably no other issue in the capital budgeting literature that has generated more attention and debate than the consistency (or lack thereof) between IRR and NPV rankings. This paper summarizes conditions that can be followed to resolve the conflict which should have near universal interest to those working in the capital budging area. This paper offers alternative methods for obtaining consistent IRR and NPV rankings which can be used to improve investment ranking decisions. The particular method used should depend on the decision environment. Guides for choosing the appropriate ranking method are described in the paper.

Significant decisions, projects, and investments are evaluated using either IRR or NPV methods. This paper shows that existing evaluation methods can lead to sub-optimal investment choices and provides an improved framework that facilitates better investment choices. Lacking an understanding of the sufficient conditions for IRR and NPV consistency – means that resource allocations have been made to investments and projects that are not optimal.

To the best of the authors’ knowledge, the results are this paper have not been published nor are they available elsewhere. That said, this paper builds on important earlier work which is carefully cited and credited.

The objective of this paper is threefold. First, it aims to empirically study whether firm-specific/idiosyncratic uncertainty, macroeconomic/aggregate uncertainty and political uncertainty have an adverse influence on firms' investment decisions in Pakistan. After establishing this, it scrutinizes whether the uncertainty effects on investment are different for firms of different sizes. Finally, it investigates whether any heterogeneity exists in the uncertainty impacts across different industries.

The empirical analysis is based on an unbalanced panel data of 468 nonfinancial firms listed at the Pakistan Stock Exchange (PSX) during the period 2000–2018. Departing from the literature, the paper builds a time-varying composite volatility/uncertainty index based on the principal component analysis (PCA) by utilizing the constructed volatility series for sales, cash flows and return on assets to gauge firm-specific uncertainty for each firm included in the analysis. Likewise, the paper develops a PCA-based composite index for macroeconomic uncertainty by using the conditional variance series of consumer price index (CPI), industrial production index (IPI), the interest rate and the exchange rate obtained by estimating the (generalized) autoregressive conditional heteroscedastic, (G)ARCH, models. Finally, political uncertainty is measured by political risk components maintained by the Political Risk Services Group. The empirical framework of the paper augments the standard investment equation by incorporating all three types of uncertainty. Firms are grouped into small, medium and large categories based on firms' total assets and the size indicators are generated. Next, the indicators are multiplied by each uncertainty measure to quantify the differential effects of uncertainty across firm size. Firms are also differentiated by sectors to explore the sector-based asymmetries in the uncertainty effects. The “robust two-step system generalized method of moments (2SYS GMM) (dynamic panel data) estimator” is applied to estimate the empirical models.

The results provide robust and strong evidence of the detrimental influence of all three types of uncertainty on investment. Yet, it is observed that the strength of the influence considerably varies across uncertainty types. In particular, compared to firm-specific uncertainty, both macroeconomic and political uncertainties have more unfavorable effects. The analysis also reveals that the effects of all three types of uncertainty are quite different at small, medium and large firms. Specifically, it is observed that although the investment of all firms is influenced adversely by magnified uncertainty, the adverse effects of all three kinds of uncertainty are quite stronger at small firms than medium and large firms. These findings support the phenomenon of size-based asymmetries in the effects of uncertainty on investment. The results also provide evidence that either type of uncertainty quite differently affects the investment policy of firms in different sectors.

The findings help different stakeholders to know how different types of uncertainty differently affect corporate firms' investments. Further, they suggest that firm size has a vital role in ascertaining the adverse effects of uncertainty on investment. The paper identifies to which type of uncertainty investors and policymakers should care more about and to which types of firms and industries they should concern more during volatile times. Firms should have more fixed assets and expand their size to mitigate the detrimental effects on investment of internal and external uncertainties. The government should enhance the political stability to induce firms for a higher level of investment, which, in turn, will result in higher growth of the economy.

The originality of the paper is credited to four aspects. First, unlike most previous studies that have utilized a single volatility measure, this paper constructs composite uncertainty indices based on the weights determined by the PCA. Second, it examines the effect of political uncertainty over and above the effects of idiosyncratic and aggregate (macroeconomic uncertainty) for an emerging economy. Third, and most important, it provides first-hand empirical evidence on the role of firm size in establishing the asymmetric effects of uncertainty on investment. Finally, it provides evidence on the industry-based heterogeneity in the uncertainty effects.

This study aims to develop and validate a cross-national framework to identify the motivation underpinning consumers' (i.e. the general public's) loyalty toward credit card usage. The following research questions guided the study: (1) What factors motivate consumers to stay loyal to their credit card? (2) Does the investment model (regarding satisfaction and investment size) mediate the relationship between factors motivating consumers to stay loyal to their credit card?

This study employs the investment model theory (Rusbult, 1980) as a theoretical framework and uses structural equation modeling to develop and validate a cross-national framework, addressing factors that motivate consumers to stay loyal to credit card brands. In addition, the authors test the mediating effect of the investment model on the relationship. Survey data were collected from the United States and France.

The findings revealed four factors (incentives, customer service, investment size and satisfaction) that impact consumer credit card loyalty behavior in the two mature credit card markets. The authors find empirical support for two of four hypotheses. That is, investment size mediates the relationship between incentives and consumer loyalty, and satisfaction mediates the relationship between customer service and consumer loyalty. Moreover, unlike the French sample, the American sample produced a significant finding for investment size to mediate the relationship between customer service and consumer loyalty.

This paper validates and extends the investment model theory in the marketing of credit cards within a cross-national setting. Most studies on credit card consumption focus on the college student segment, and there is less understanding of the motivation to stay loyal to using a credit card from the general public who are not necessarily college students. Given the scarce stream of empirical studies dealing with cross-national consumer motivation, choice criteria of credit cards, and loyalty toward credit cards, this research comes at an opportune moment as credit card firms differentiate their card brands in the global marketplace. Further, a dataset originating from two mature Western economies has been put forward for the benefit of practitioners and researchers.

This study aims to examine the impact of economic policy uncertainty (EPU) on firm investment in corporate social responsibility (CSR)’s environmental, social and governance (ESG) dimensions. Additionally, the study examines whether firm size moderates the EPU–CSR relationship.

The sample includes 2,017 US. firms from 2002 to 2018. Data on ESG scores are drawn from the Asset-4 database in Thomson Reuters to measure CSR investment. ordinary least square regression, including fixed effects at the year and industry level, is used as the main econometric specification. Moreover, the study employed the two-step system Generalized Method of Moments to address the endogeneity concerns.

The findings reveal that firms increase their CSR investment in response to high EPU. The results are consistent in all the three ESG/CSR dimensions: ESG. Moreover, the positive association between EPU and CSR is driven by firm size, indicating that large-sized firms have the resources and incentives to invest more in CSR. Our main findings remain consistent after addressing the endogeneity concerns and controlling for the effect of omitted variable biasness.

Using a unique sample of US firms, this study empirically contributes to the current literature on the association between EPU and CSR investment. Moreover, firm size plays a vital role in moderating this relationship.

In this paper, the authors document the existence of price clustering in the US corporate bond market.

Using a sample of 8,422,593 corporate bond trades in 2014, the authors find that over 18% (1,522,284 trades) of all bond trades end in a clustered price, defined as a price ending in 00, 25, 50, or 75.

Overall, the authors find that both bond rating category and risk, as measured by standard deviation of prices, play a role in price clustering; speculative grade bonds account for the majority of clustered prices. Clustered prices are more likely to have higher coupon rates, higher prices, and higher standard deviations of price than bonds with non-clustered prices. Regardless of size, both buy and sell dealer trades with customers (relative to interdealer trading) lead to an increase in price clustering. Dealers appear to use clustered prices when purchasing from and selling to institutions and, therefore, may use a clustered price to insulate themselves from the risk of asymmetric information. Additionally, the prevalence of clustered prices for retail-sized dealer sell trades suggests that dealers exercise dealer power over retail-sized traders.

This paper contributes to the literature on price clustering by examining trade price clustering of corporate bonds. It is different from previous papers on price clustering in equities. Given that bonds tend to be priced off of yield, it is unusual that trade prices cluster. It also demonstrates what kind of bonds cluster and with which customers dealers trade at clustered prices. It parallels other research in demonstrating dealer power over retail-sized traders.