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This paper tries to estimate the dynamic linear latent factor model (DLLFM) with jump in order to find jump risk, heteroscedasticity and time varying correlations in Global REITs Markets.

Using five major Global Reits rates such as the United States, Japan, the United Kingdom, Australia and Hong Kong form January 4, 2000 to June 29, 2018, this study finds the evidence of common factor and time-varying correlations in addition to the country-specific idiosyncratic risk.

According to the main estimated results of this paper, approximately 60% of the common factors of global REITs market risk. Can be explained by global stock markets.

Second, REITs market integration among five countries seems to have been increasing gradually since Global Financial Crisis.

The authors analyzed the relationship between chief executive officer (CEO) facial masculinity and the level of corporate social responsibility disclosure (CSRD).

The authors conducted research for 2011–2019, covering companies listed on the Indonesian Stock Exchange. This study used an ordinary least squares regression, the coarsened exact matching (CEM) and propensity score matching (PSM) procedure in testing the hypothesis.

Based on the results of analysis, it is known that CEO facial masculinity is negatively related to corporate CSR disclosure levels. However, this negative relationship can be mitigated through governance mechanisms: the audit committee.

This paper provides implications in the field of research, especially regarding the biological attributes of CEOs in relation to CSR.

As many previous studies focused on the managerial aspect of the CEO, this study focused on the biological aspect of CEO. To the authors’ knowledge, this study is among the first to attempt to investigate this issue in an emerging market.

The literature provides extensive evidence for seasonality in stock market returns, but is almost non-existent concerning the potential seasonality in American depository receipts (ADRs). To fill this gap, this paper aims to examine a number of seasonal effects in the market for ADRs.

The paper examines four ADRs for the period from April 1999 to March 2017 to look for signs of eight important seasonal anomalies. The authors follow the standard methodology of using dummy variables for the time period of interest to capture excess returns. For comparison, the same analysis on two US stock market indices is conducted.

The results show the presence of a highly significant pre-holiday effect in all return series, which does not seem to be justified by risk. Moreover, turn-of-the-month effects, monthly effects and day-of-the-week effects were detected in some of the ADRs. The seasonality patterns under analysis tended to be stronger in emerging market-based ADRs.

Overall, the results show that significant seasonal patterns were present in the price dynamics of ADRs. Moreover, the findings lend support to the idea that emerging markets are less efficient than developed stock markets.

This is the most comprehensive study to date for indication of seasonal anomalies in the market for ADRs. The authors use an extensive sample that includes recent significant financial events such as the 2007/2008 financial crisis and consider ADRs with different characteristics, which allows to draw comparisons between the differential price dynamics arising in developed market-based ADRs and in the ADRs whose underlying securities are traded in emerging markets.

This study aims to offer a bibliometric and coding analysis of blockchain articles published in the accounting, auditing and accountability fields.

The data were collected using the Scopus database and a bibliometric and qualitative coding analysis with the keywords “blockchain” and “accounting” or “auditing” or “accountability.” Of the 514 initial sources, 93 peer-reviewed papers, book chapters and conference proceedings in the areas of business, management and accounting were finally selected. Nonscientific sources such as nonpeer-reviewed books and white papers were excluded.

This study reveals a promising and multidisciplinary field of research dominated by scholars and less by practitioners. Qualitative research, especially discourse analysis, is the most used method among authors. This study gives some useful insights about blockchain's definition and characteristics, business models, processes involved, connection with other technologies and relationships with accounting theories. Among the most interesting insights, the results confirm that technology as an external force can create an intersection among several research areas: accounting, auditing, accountability, business, management, computer science and engineering fields. Finally, in terms of research themes, although blockchain has a clear effect on auditing accounting, the links with the area of accountability are less clear and validated.

This study highlights the current state of the field, combining methodological approaches and providing valuable future research insights. Additionally, it is also a starting point for professionals to fully understand blockchain's characteristics and potential with a constructive and systemic approach.

The purpose of this paper is to introduce an empirical model for house price spillovers between real estate markets. The model is presented by using data from the US-UK and London-New York housing markets over a period of 1975Q1-2016Q1 by employing both static and dynamic methodologies.

The research analyzes long-run static and dynamic spillover elasticity coefficients by employing three methods, namely, autoregressive distributed lag, the fully modified ordinary least square and dynamic ordinary least squares estimator under a Kalman filter approach. The empirical method also investigates dynamic correlation between the house prices by employing the dynamic control correlation method.

The paper shows how a dynamic spillover pricing analysis can be applied between real estate markets. On the empirical side, the results show that country-level causality in housing prices is running from the USA to UK, whereas city-level causality is running from London to New York. The model outcomes suggest that real estate portfolios involving US and UK assets require a dynamic risk management approach.

One of the findings is that the dynamic conditional correlation between the US and the UK housing prices is broken during the crisis period. The paper does not discuss the reasons for that break, which requires further empirical tests by applying Markov switching regime shifts. The timing of the causality between the house prices is not empirically tested. It can be examined empirically by applying methods such as wavelets.

The authors observed a unidirectional causality from London to New York house prices, which is opposite to the aggregate country-level causality direction. This supports London’s specific power in the real estate markets. London has a leading role in the global urban economies residential housing markets and the behavior of its housing prices has a statistically significant causality impact on the house prices of New York City.

The house price co-integration observed in this research at both country and city levels should be interpreted as a continuity of real estate and financial integration in practice.

The paper is the first research which applies a dynamic spillover analysis to examine the causality between housing prices in real estate markets. It also provides a long-term empirical evidence for a dynamic causal relationship for the global housing markets.

This paper aims to suggest the structure of a platform for education and capacity building for Future Earth, which is an intensive program open to the eight stakeholders and which utilizes existing research programs/facilities associated with Future Earth. An intention of this paper is to facilitate a policy brief for projects associated with Future Earth.

This paper reviewed backgrounds and necessary items for education and capacity buildings in Future Earth projects by implementing three main priorities in Future Earth and current surrounding environments.

This paper then suggested a possible structure, competencies, contents and human resources for education and capacity building and education for Future Earth.

The suggestions can be implemented in capacity building and education programs associated with Future Earth.

Intellectual capital (IC) is believed to be more important resources to add the value of a company rather than physical assets. This gives rise to the increasing practice of reporting IC information in corporate annual report. Over the past fifteen years, considerable numbers of studies have employed content analysis to examine the extent and nature of IC information in several countries, but they presented different results. These results might partly contribute to different methods in counting information. In fact, the previous studies have been critised for not explicitly clarifying how information was recoded and counted which led to incomparable findings. Therefore, this paper firstly seeks to discuss an illustrative example of ‘sense-making‘ process in identifying, categorizing, and counting of IC information in annual reports of pilot sample company. Secondly, the method refined in the pilot study was applied over the final samples of six large companies in the UK from 1974 to 2008 The contribution of this paper is to primarily refine the previous method in recoding information, to send a message that transparency is crucial in content analysis and to facilitate method replication for future studies. Overall, this study demonstrates a marked increase in IC information disclosure was identified over the 35 years. The relational capital information disclosure was relatively more prominent over time, followed by human capital and structural capital.

Dating is a meaningful occupation for many single people. The occupation of dating has transformed considerably in Ireland due to recent changes in Irish culture and the advent of online dating technology. The purpose of this study was to explore the complexities and intricacies of dating in an Irish context.

A qualitative research approach was used and data were collected using semi-structured interviews with ten heterosexual women (age 24‐34) living in urban areas of Ireland. Data were analysed using inductive thematic analysis (Braun and Clarke, 2006).

Dating did not fully resonate with their experience, but they did not have an alternative term. The form of dating was influenced by cultural, temporal, physical and virtual contexts. Beliefs about dating, fluctuating emotions and feelings of mortification because of the stigma of online dating created meaning for participants and influenced their use of strategies to improve resilience. While dating was not a preferred occupation for participants because of its arduous nature and fluctuations in emotion, it was seen as essential to fulfil the function of finding a romantic partner or partner in occupation. Connections between participant experiences and occupational science are discussed to address the lexicon of dating and the form, function and meaning of dating.

This study contributes to occupational science knowledge by revealing the occupational understandings of dating as an emerging and dynamic occupation in a rapidly changing culture of Ireland.