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This paper aims to examine the impact of interest rate liberalisation on the constancy of mean interest rates in China to test the effect of financial reforms and provide strategies for future practices.

Bai and Perron’s (1998, 2003) methodology is used to test for structural breaks in the mean of different interest rates using Chinese data, and break dates are measured against the exact dates of the interest rate liberalisation. The performance of mean interest rates across the regimes defined by liberalisation dates is also investigated.

The main results show that interest rates generally increase (decrease) after deregulations on lending (deposit) rates, but these changes are not significant to induce a negative impact on the domestic economy. Instead, the infrequent but important shifts (structural breaks) in mean interest rates are caused by factors other than liberalisation such as economic shocks, inflationary expectation and liquidity crunch in China.

To the best of the author’s knowledge, this paper provides unprecedented evidence on significant changes in interest rates attributable to the liberalisation within the Chinese context.

The purpose of the paper is to assess the systemic risk in the new energy stock markets of China.

This paper first uses the VaR method to study individual stock market risks. It then introduces the DCC model to capture the dynamic conditional correlation among the new energy stock markets.

The paper shows a generally upward trend of the stock market risk over time in the recent decade. Among all the markets considered, the solar power market demonstrates the highest risk, closely followed by the wind power market, while the hydropower market exhibits the lowest risk. Furthermore, the average dynamic conditional correlations among the new energy markets stay high during the period under investigation though daily correlations vary and significantly declined in 2020.

To the best of the authors’ knowledge, this paper is the first of its kind to study the systemic risk within the new energy stock market context. In addition, it not only investigates individual new energy stock market risks but also examines the dynamic linkages among those markets, thus providing comprehensive and unprecedented evidence of systemic risk in China new energy markets, which have useful implications for both regulators and investors.

The purpose of this paper is to propose a new dynamic margin setting method for margin buying in China and evaluate the validity of its performance with the current margin system adopted by stock exchanges in extreme episodes.

This paper adopts the dynamic conceptual model of Huang et al. (2012) (which is based on Figlewski (1984)) but incorporates Markov chain to describe the data generation process of stock price changes. By applying the model to margin buying contracts for the period of March 16, 2018, to May 2, 2018 (baseline study) and June 15, 2015, to July 27, 2015 (robustness test), the model’s superiority to the current margin system adopted by stock exchanges is also tested.

The paper has several important findings. First, the margins derived by this system vary with market conditions, rising (declining) when stock prices go down (up), and are generally lower than the requirements imposed by stock exchanges. Second, this margin system induces lower overall percentage of costs than that adopted by stock exchanges. Third, parameter estimation plays an important role on shaping empirical results.

The primary limitation of this paper lies in the fact that it does not solve the issue of determining optimal parameters of the Markov chain model. On the implication of findings, policy-makers and regulators on supervising margin buying activities may need a tune-up on the current margin system which features static margin requirements. Dynamic margins that incorporate market factors are virtually useful to balance the trade-off between liquidity and prudence.

To the best of the authors’ knowledge, this study is the first of its kind to develop a dynamic margin setting method for margin buying in China, aiming to balance the trade-off between liquidity and prudence. It not only takes into account the uniqueness of Chinese markets but also allows for time variations in both initial and maintenance margins.

This study aims to leverage inertial sensors via a walk test to associate kinematic variables with functional assessment results among walkable subjects with chronic stroke.

Adults with first-ever stroke survivors were recruited for this study. First, functional assessments were obtained by using Fugl–Meyer Assessment for lower extremity and Berg balance scales. A self-assembled inertial measurement system obtained walking variables from a walk test after being deployed on subjects’ affected limbs and lower back. The average walking speeds, average range of motion in the affected limbs and a new gait symmetry index were computed and correlated with the two functional assessment scales using Spearman’s rank correlation test.

The average walking speeds were moderately correlated with both Fugl–Meyer assessment scales (γ = 0.62, p < 0.01, n = 23) and Berg balance scales (γ = 0.68, p < 0.01, n = 23). After being modified by the subjects’ height, the new gait symmetry index revealed moderate negative correlations with the Fugl–Meyer assessment scales (γ = −0.51, p < 0.05) and Berg balance scales (γ = −0.52, p < 0.05). The other kinematics failed to correlate well with the functional scales.

Neuromotor and functional assessment results from inertial sensors can facilitate their application in telemonitoring and telerehabilitation.

The average walking speeds and modified gait symmetry index are valuable parameters for inertial sensors in clinical research to deduce neuromotor and functional assessment results. In addition, the lower back is the optimal location for the inertial sensors.

The emerging markets have been witnessing a remarkable revival of rotating savings and credit associations (ROSCAs) serving as alternative informal financing and investment platforms, also known as savings-based finance (SBF) in Turkey. The purpose of this study is to present the SBF model mathematically, analyse the performance of the SBF sector and propose a new Sharīʿah-compliant SBF model for the acquisition of durables.

The paper thoroughly reviews the concept and practice of ROSCA across the globe, mathematically models and empirically analyses the performance of Turkish SBF companies using a unique data set.

The study formulates a two-person SBF model and proposes a Mudarabah-Wakalah hybrid model with a new investment feature. It is found that the concept of ROSCA is being operationalized in 105 countries across the globe under different names with slight business model modifications. The research also reveals that the demand for financing of durables in Turkey significantly increased in recent years with the demand for housing is twice greater compared to vehicles. Most importantly, a strong significant inter- and intra-comovement is observed between these durables implying that the success of the sector in one segment has attracted the customers to other SBF products. It shows that the SBF institutions can effectively serve as the alternative financing houses for pooling savings and financing the durables, and they have strong potential to capture a larger financial market share in Turkey and even globally.

The study constructs mathematical models and proposes a new investment wing to an existing SBF wealth fund.

This paper aims to explore one question: to what extent does urban rehabilitation impact the housing search cost of the low-income tenants.

This paper adopts the fixed effects time-on-market (TOM) model and pricing model to study the research question.

Urban rehabilitation lifts the subdivided units (SDUs’) prices by around 7%. For the SDU located in old districts, urban rehabilitation gives rise to the rental price up by 11%–12%. The SDUs in the area without urban rehabilitation experience a short marketing period of 16%–17%. The SDU located in the old district that is without urban rehabilitation would have a short marketing time.

To the best of the authors’ knowledge, this is the pioneering research to investigate the relationship between rehabilitation and low-income rental housing from the improved search theory. The improved search theory posits that under the circumstance of urban rehabilitation, low-income tenants’ options are limited and the search behavior will be restricted in the affordable areas, and then TOM will be shortened. With the concentration of SDUs in Hong Kong, the test of the search theory is broken down into two hypotheses. (H1) Urban rehabilitation leads to low-income housing prices increase. (H2) Low-income housing located in areas without urban rehabilitation has a shorter TOM.

The aim of this paper is to make sense of the “funding gap” by exploring how and why informal entrepreneurial finance is made available to entrepreneurs. By challenging the epistemological and ontological assumptions of the “funding gap”, an enactment perspective of entrepreneurial finance, supported by a social constructionist stance, is proposed in this paper.

The study on which this paper reports was conducted through a longitudinal fieldwork process. Networks in two Chinese cities, Shanghai and Hong Kong, were chosen because of their differences in institutional context yet exceptionally high level of entrepreneurial activities.

This paper highlights the active role entrepreneurs play in managing their financial needs in the process of new venture creation. The results show that entrepreneurs are actively managing the demand as well as supply of entrepreneurial finance to narrow the “funding gap”. Furthermore, individuals work to fill the funding gap by creating required start‐up capital. In other words, the “funding gap” is not static or concrete; rather it is dynamic, manageable and in many cases is within individuals' power and ability to overcome.

The findings of this paper are particularly important to all stakeholders, including policy makers, educators, researchers, entrepreneurs and nascent entrepreneurs.

This paper contributes to the conceptual, methodological and practical knowledge in advancing understanding of the “funding gap”. First, it provides insight into the relationship between entrepreneurs and their environment that shapes the “funding gap”. Second, the findings suggested that a positive, supportive enterprise culture can be particularly useful in driving individuals towards entrepreneurship. Third, in terms of methodology, the author argues that an “inside‐looking‐lout”, interpretive, multi‐stage fieldwork and network as unit of analysis is particularly distinctive in revealing the complex process of managing entrepreneurial finance in the process of new venture creation.

The purpose of this paper is to investigate the risk appetite in Hong Kong real estate and property security markets in the recent episode of global financial crisis.

An advanced methodology developed from the previous risk appetite measurement and Markov Chain Monte Carlo simulation is used. Traditional research on risk appetite had never been applied to the real estate market before because no options underlying properties exist. However, this paper makes a contribution that in the absence of options, risk appetite indicators are derived for the real estate and property security markets.

The empirical results show that the risk appetite for the real estate market started to fall markedly in the third quarter of 2008, matching the very period of the Sub‐prime Mortgage Crisis in the USA. By contrast, those for the property security index were stabilizing in that period. This implies that investors' risk attitude to the real estate market differs from that to the property security market. Furthermore, the correlations between the index prices and the corresponding risk appetite in each market suggest that investors are “risk neutral” in the real estate market, while they are “risk lovers” in the property security market.

This paper, to the authors' best knowledge, is the first study to explore the risk appetite indicator in the real estate market, which could enable us to shed new light on the market price movement from the perspective of investors' market sentiment.

The ability to reflect upon and manage their internal functioning may very much help teams contribute to their organizations. This study suggests that managing conflict cooperatively and productively provides a foundation for effective team task reflexivity. 200 employees in 100 work teams in China completed measures of their team's cooperative, competitive, and avoiding approach conflict management and task reflexivity and 100 managers indicated the team's in‐role and extra‐role (organizational citizenship behavior) performance. Results support the theorizing that conflict management can contribute to team task reflexivity. Structural equation analyses were interpreted as suggesting that cooperative conflict management promotes task reflexivity that in turn results in team performance. These results, coupled with previous research, were interpreted as suggesting that cooperative approaches to conflict and task reflexivity are complementary foundations for effective teamwork.

The long‐standing urban decay problem in Hong Kong continues to receive attention from the government and concerned organisations. However, little attention is paid to the financial benefits that can be achieved after old buildings are rehabilitated. This study seeks to evaluate and quantify the value enhancement of aging buildings resulting from rehabilitation.

Using the direct sales comparison method, the study critically examines over 80 sample buildings across Hong Kong. Residential properties with rehabilitation completed in the public sector are chosen as samples for numerical analysis.

The results show that: the capital value of the sample buildings after rehabilitation increased by an average of 35.6 percent; the overall appreciation rate of the sample buildings (35.6 percent) exceeds that of other buildings in the same district (20.8 percent); the average price increase of the sample buildings (25.7 percent after adjustment) is greater than that of Type B (40‐69.9 square meters) buildings (18.9 percent) in Hong Kong; positive growth in transaction volume is evidenced from the sample buildings in four districts; and, on average, the benefit to cost ratio of rehabilitation per unit is 10.9 and the net benefit per square foot is HK$461.4 (or US$59.2).

There are potential risks of error arising from the use of assumptions, price adjustments, limited sample size and data from the secondary source.

The analysis is of relevance in confirming the value enhancement arising from rehabilitation and the findings provide a motive for the industry and public for rehabilitation.

The significance of this study is the quantification of the positive effect of rehabilitation.