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This paper aims to examine the internal logical relationship between two intergenerational inheritance ways of passing property rights and residual control rights (RCR) and to construct a conceptual model comprising transfer elements, paths and timing of succession in this process.

Driven by the cases of Haixin, Tianyijiao and Changhe Group, this paper applies research methods of copying and expanding analysis logic, progressive deduction, content analysis and comparative research based on the perspective of HeXie theory to explore the deep interrelation of transfer elements, paths and timing during family business succession.

The findings present that the content of intergenerational inheritance of a family firm is the inheritance of property rights and RCR. First, the inheritance of property rights is a static inheritance of time-point delivery, whereas the inheritance of RCR is a dynamic inheritance process for a period of time. Second, the inheritance of property rights and RCR are not independent; only a “HeXie” succession of both rights can realize a successful inheritance of family firms.

This paper constructs the paths and timing model of intergenerational inheritance of property rights and RCR in family firms. This paper integrates the current literature studies on the family inheritance of property rights and RCR and explains their internal mechanisms. This paper also provides a theoretical foundation and empirical evidence for family business transitions in the business world.

To examine the rationale for the investment principles adopted by faith‐based funds from a biblical perspective and to evaluate the performance of faith‐based ethical funds.

A multi‐factor Carhart model is applied to examine the risk‐adjusted financial performance and investment strategies of faith‐based ethical funds.

The statistical results indicate that the faith‐based funds as a group do not under‐perform the market on a risk‐adjusted basis.

This suggests that investment managers may incorporate moral/ethical components into their investment decisions without unduly shortchanging their clients for whom they have fiduciary duties.

This is one of the very few papers which study faith‐based funds.

The purpose of this paper is to examine the role of geographic location of research-intensive firms in the ability to generate new research and products, which consequently affects firm value.

The authors conduct the empirical study following a three-step process. First, if pharmaceutical firms are more likely to cite the patents of other firms and other innovators that are nearby, as opposed to firms and other innovators that are far away, then location (i.e. close proximity) is likely important when it comes to the ability to learn and to use the knowledge being generated by other innovators. The authors employ a “geographic information systems” (GIS) and geo-code each pair of citing and cited patents. In addition, the authors utilize spatial statistics such as Moran’s I to analyze the spatial clustering pattern of patent citations and knowledge flows. Next, the authors measure the pharmaceutical companies’ ability to generate useful patents as a function of the amount of innovation and industrial activity that is occurring close to them. Finally, the authors test whether a firm’s location relates to its firm value. Specifically, the authors model firm value as a function of its patents quality, but the authors also allow the firm’s patents quality to be a function of its location and locational attributes. In this way, the authors establish a link between location and firm value. Using a simultaneous system of equations, the authors find that location explains patent quality, which, in turn, explains firm value. In other words, there is a positive relationship between firm value, innovation and location.

In empirical tests using pharmaceutical firms and their patents, the authors first find that firms more often cite patents of other firms that are geographically closer to them than those firms that are farther away. The authors then find that a patent’s quality is a function of the firm’s near proximity to other knowledge-intensive institutions and activities. Finally, the authors find that because patent quality is a function of a firm’s geographic location, location consequently affects firm value.

For knowledge-intensive firms, geographic location matters. More specifically, the authors contend that research-intensive firms are better able to use and to expand on existing knowledge when they are closer to other research-intensive enterprises. The implication is that firm value maximization involves a location factor.

The practical implication for investors is that investors should invest in those firms that are situated in a location that is rich in geographic innovation resources because those firms are more likely to generate more and higher quality patents or innovations.

The study is the first to establish the linkage among spatial knowledge diffusion, geographic drivers of innovation, and market valuation of the firm. The study is unique in that the authors not only present evidence on spatial knowledge flows by geo-coding the exact longitude and latitude location coordinates of citing and cited patens, but more importantly, the authors also identify geographic drivers of innovation, and examine their impacts on citation-weighted patent counts and knowledge stock. Finally, using a series of simultaneous equations, the authors show how geographic innovation resources positively affect citation-weighted patent stock and knowledge stock and consequently affect market value of the firm. Thus, the novel approach contributes not only to the literature that measures geographic localization of knowledge flow using patent citations, but also to the literature that examines the impact of geographic sources of innovations on patent outputs and patent quality and, thus on firm value for research-intensive firms.

As the economic and financial characteristics of countries change, so would be their betas and correlations of their investment returns with that of the U.S. Such changes are expected to be particularly significant for emerging market nations as they strive for rapid industrialization and modernization. OLS estimator for the beta coefficient would not be the Best Linear Unbiased Estimator (BLUE) if beta is non‐stationary or changes from period to period. This paper proposes a special type of time weighted least square method (TWLS), which assigns greater weights on the regression errors in more recent periods, for estimating the current beta. This TWLS approach can tackle the problem of intertemporal heteroscedasticity and thus yields a beta that is more efficient. The breakthrough lies on the viability of the method without a‐priori knowledge or estimation of the values of the weights. This yields a significant practical advantage since the weights are unobservable in the real world. Since the Time Weighted Method estimator is the coefficient estimator of beta value for the latest period in the sample, statisticians who base their forecasts on the beta estimates derived from the Time Weighted Least Square can expect to outperform those relying on beta values obtained from conventional estimation. We use a sample of daily returns of thirty‐one emerging markets stock over the period of January 1, 2000 through December 31, 2002. We find that most of the tstatistics for the variances are significant at the 95 per cent level, indicating that the Var(s)’s are not zero for nearly every emerging‐markets. This implies that the betas for these markets do shift over time.