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Article
Publication date: 14 February 2022

Deanna Anderlini, Luigi Agnati, Diego Guidolin, Manuela Marcoli, Amina S. Woods and Guido Maura

This conceptual paper aims to explore the possibility of human beings reaching a virtual form of immortality.

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Abstract

Purpose

This conceptual paper aims to explore the possibility of human beings reaching a virtual form of immortality.

Design/methodology/approach

The paper is an investigation of the path from an early example of human knowledge to the birth of artificial intelligence (AI) and robots. A critical analysis of different point of views, from philosophers to scientists, is presented.

Findings

From ancient rock art paintings to the moon landing, human knowledge has made a huge progress to the point of creating robots resembling human features. While these humanoid robots can successfully undertake risky tasks, they also generate ethical issues for the society they interact with.

Research limitations/implications

The paper is conceptual, and it does attempt to provide one theory by which human beings can achieve the dream of immortality. It is part of a work in progress on the use of AI and the issues related to the creation/use of humanoid robots in society.

Originality/value

This paper provides an overview of some of the key issues and themes impacting our modern society. Its originality resides in the linking of human knowledge to collective knowledge and then of collective mind to the hyper-collective mind. The idea of humans reaching immortality is burdened by the imperative need to define ethical guidelines for the field of AI and its uses.

Details

Global Knowledge, Memory and Communication, vol. 72 no. 6/7
Type: Research Article
ISSN: 2514-9342

Keywords

Available. Content available
Book part
Publication date: 29 February 2008

Abstract

Details

Forecasting in the Presence of Structural Breaks and Model Uncertainty
Type: Book
ISBN: 978-1-84950-540-6

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Case study
Publication date: 25 November 2019

Sergio Morales and Oswaldo Morales

The contribution of the present case lies in the critical view that every business actor should exercise – be it general manager, middle management, supervisor or executive – when…

Abstract

Learning outcomes

The contribution of the present case lies in the critical view that every business actor should exercise – be it general manager, middle management, supervisor or executive – when building a strong organizational culture in corrupt political environments.

Case overview/synopsis

The purpose of this case study is to explore the dilemma in which Marcelo Odebrecht, once CEO of Odebrecht, found/determined whether to continue with the business model established by the founders of Odebrecht or take a new path for the organization. After exploring the corrupt acts of Odebrecht and the scope of Operation Lava Jato, the reader can reflect on the importance of organizational culture (according to the three levels proposed by Schein) in the face of the emergence of corruption. By generating discussions about organizational culture, business ethics, political culture and corruption, the organizational culture of Odebrecht is problematized in relation to its real behavior.

Complexity academic level

Students of administration, business and international business undergraduates and graduates, as well as members of senior management in companies in the infrastructure sector. Also, given the plurality of possible readings, it is recommended that the case also be used in courses or specializations in organizational psychology, organizational sociology or organizational anthropology.

Supplementary materials

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Subject code

CSS 5: International Business.

Details

Emerald Emerging Markets Case Studies, vol. 9 no. 3
Type: Case Study
ISSN: 2045-0621

Keywords

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Book part
Publication date: 24 April 2023

Asli Ogunc and Randall C. Campbell

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series…

Abstract

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

Details

Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications
Type: Book
ISBN: 978-1-83753-212-4

Keywords

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Article
Publication date: 1 May 2007

K.H. Liow and H. Zhu

The purpose of this paper is to explore a regime switching asset allocation model that includes six major real estate security markets (USA, UK, Japan, Australia, Hong Kong and…

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Abstract

Purpose

The purpose of this paper is to explore a regime switching asset allocation model that includes six major real estate security markets (USA, UK, Japan, Australia, Hong Kong and Singapore) and focuses on how the presence of regimes affects portfolio composition.

Design/methodology/approach

A Markov switching model is first developed to characterize real estate security markets’ risk‐return in two regimes. The mean‐variance portfolio construction methodology is then deployed in the presence of the two regimes. Finally, the out‐of‐sample analyzes are conducted to examine whether the regime switching allocation outperforms the conventional allocation strategy.

Findings

Strong evidence of regimes in the six real estate security markets in detected. The correlations between the various real estate security markets’ returns are higher in the bear market regime than in the bull market regime. Consequently the optimal real estate portfolio in the bear market regime is very different from that in the bull market regime. The out‐of‐sample tests reveal that the regime‐switching model outperforms the non‐regime dependent model, the world real estate portfolio and equally‐weighted portfolio from risk‐adjusted performance perspective.

Originality/value

The application of the Markov switching technique to real estate markets is relatively new and has great significance for international real estate diversification. With increased significance of international securitized property as a real estate investment vehicle for institutional investors to gain worldwide real estate exposure, this study provides significant insights into the investment behavior and optimal asset allocation implications of the listed real estate when returns follow a regime switching process.

Details

Journal of Property Investment & Finance, vol. 25 no. 3
Type: Research Article
ISSN: 1463-578X

Keywords

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Article
Publication date: 11 July 2016

Mehmet Balcilar, Gozde Cerci and Riza Demirer

The purpose of this paper is to examine the international diversification benefits of Islamic bonds (Sukuk) for equity investors in conventional stock markets. The authors compare…

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Abstract

Purpose

The purpose of this paper is to examine the international diversification benefits of Islamic bonds (Sukuk) for equity investors in conventional stock markets. The authors compare the diversification benefits of these securities with their conventional alternatives from advanced and emerging markets. Compared to conventional bonds, Sukuk are backed by tangible assets and carry both bond and stock-like features. Furthermore, the Sharia-based limitations limit the risk in these securities as a result of ethical investing rules. The regime-based model provides insight to possible segmentation (or integration) of these securities from global markets during different market states.

Design/methodology/approach

Risk spillover effects across conventional and Islamic stock and bond markets are examined using a Markov regime-switching GARCH model with dynamic conditional correlations (MS-DCC-GARCH). Weekly return series for conventional (advanced and emerging) and Islamic stock and bond indices are examined within a regime-dependent specification that takes into account low, high, and extreme volatility states. The DCC are then used to establish alternative diversified portfolios formed by supplementing conventional and Islamic equities with conventional and Islamic bonds one at a time.

Findings

Asymmetric shocks are observed from conventional stocks and bonds into Islamic bonds (Sukuk). Compared to emerging market bonds, Sukuk are found to display a different pattern in the transmission of global market shocks. The analysis of dynamic correlations suggests a low degree of association between Islamic bonds and global stock markets with episodes of negative correlations observed, particularly during market crisis periods. Portfolio performance analysis suggests that Islamic bonds provide valuable diversification benefits that are not possible to obtain from conventional bonds.

Originality/value

This study provides comprehensive analysis of volatility interactions and dynamic correlations across Islamic and conventional markets within a regime-based framework and provides insight to whether these securities could serve as safe havens or diversifiers for global investors. The findings have significant implications for global diversification strategies, particularly during market crisis periods.

Details

Managerial Finance, vol. 42 no. 7
Type: Research Article
ISSN: 0307-4358

Keywords

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Article
Publication date: 26 April 2022

Michela Serrecchia

The aim of this study is to examine the trend over time of the demand for .it domain names.This study first assesses whether there is a phase of growth and expansion or at a point…

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Abstract

Purpose

The aim of this study is to examine the trend over time of the demand for .it domain names.This study first assesses whether there is a phase of growth and expansion or at a point of saturation. Second, this research can be useful also to compare researches that have considered other internet metrics and other models.

Design/methodology/approach

This paper describes the forecasting methods used to analyze the internet diffusion in Italy. The domain names under the country code top-level domain “.it” have used as metrics. To predict domain names .it the seasonal auto regressive integrated moving average (SARIMA) model and the Holt-Winters (H-W) methods have been used.

Findings

The results show that, to predict domain names .it the SARIMA model is better than the H-W methods. According to the findings, notwithstanding the forecast of a growth in domain names, the increase is however limited (about 3%), tending to reach a phase of saturation of the market of domain names .it.

Originality/value

In general many authors have studied internet diffusion applying statistical models that follow an S-shaped behavior. On the other hand, the more used diffusion models that follow an S-shape not always provide an adequate description of the Internet growth pattern. To achieve this goal, this paper demonstrates how the time series models, in particular SARIMA model and H-W models, fit well in explaining the spread of the internet.

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Book part
Publication date: 29 February 2008

Francesco Ravazzolo, Richard Paap, Dick van Dijk and Philip Hans Franses

This chapter develops a return forecasting methodology that allows for instability in the relationship between stock returns and predictor variables, model uncertainty, and…

Abstract

This chapter develops a return forecasting methodology that allows for instability in the relationship between stock returns and predictor variables, model uncertainty, and parameter estimation uncertainty. The predictive regression specification that is put forward allows for occasional structural breaks of random magnitude in the regression parameters, uncertainty about the inclusion of forecasting variables, and uncertainty about parameter values by employing Bayesian model averaging. The implications of these three sources of uncertainty and their relative importance are investigated from an active investment management perspective. It is found that the economic value of incorporating all three sources of uncertainty is considerable. A typical investor would be willing to pay up to several hundreds of basis points annually to switch from a passive buy-and-hold strategy to an active strategy based on a return forecasting model that allows for model and parameter uncertainty as well as structural breaks in the regression parameters.

Details

Forecasting in the Presence of Structural Breaks and Model Uncertainty
Type: Book
ISBN: 978-1-84950-540-6

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