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Motivated by empirical features that characterize cryptocurrency volatility data, the authors develop a forecasting strategy that can account for both model uncertainty and heteroskedasticity of unknown form. The theoretical investigation establishes the asymptotic optimality of the proposed heteroskedastic model averaging heterogeneous autoregressive (H-MAHAR) estimator under mild conditions. The authors additionally examine the convergence rate of the estimated weights of the proposed H-MAHAR estimator. This analysis sheds new light on the asymptotic properties of the least squares model averaging estimator under alternative complicated data generating processes (DGPs). To examine the performance of the H-MAHAR estimator, the authors conduct an out-of-sample forecasting application involving 22 different cryptocurrency assets. The results emphasize the importance of accounting for both model uncertainty and heteroskedasticity in practice.

L'analyse contenue dans le chapitre précédent donne une réponse à la question de savoir pourquoi on poursuit aux Pays‐Bas, dans le cadre de la politique économique, une politique destinée à favoriser le tourisme. Cette réponse consiste à signaler l'intérét du tourisme pour l'ensemble de l'économie. Nous avons distingué cinq éléments, dont le dernier, qui porte exclusivement sur le budget de l'Etat, ne sera pas traité ultérieurement. Les trois premiers, à savoir la production de devises, le développement de la prospérité régionale et l'accroissement du revenu et de l'activité en général, ont été indiqués comme étant les éléments les plus importants, surtout qu'ils correspondent à trois des principaux objectifs de la politique économique poursuivie aux Pays‐Bas, à savoir une balance des paiements avantageuse, une expansion économique équilibrée et aussi forte que possible, et un niveau de l'emploi aussi élevé que possible. Il convient de considérer l'élément du développement de la prospérité régionale (où le tourisme peut entrer en jeu) par rapport aux objectifs de la croissance économique équilibrée et du niveau de l'emploi le plus élevé possible.

S'il est vrai, comme le constatent W. Hunziker et K. Krapf dans leur œuvre «Allgemeine Freindenverkehrslehre», que le tourisme moderne doit sa naissance à la liberté individuelle illimitée qui régnait au 19e siècle, l'essor qu'il a pris pendant ces dernières décennies n'aurait pas été possible sans une action bien orientée et organisée d'individus associés, c'est‐à‐dire sans une politique visant à favoriser le tourisme.

Rapport de synthèse présenté par A. J. Guignand, directeur général de Villages Vacances Familles, Paris J'ai été chargé par le Comité de rédaction du Congrès de résumer et de rassembler les principales idées émises au cours de ce Congrès, tant dans les rapports que dans les discussions qui ont suivi.

In an ongoing process of globalization and technology improvements and due to an increase in worldwide actors in the economic sector, commercial diplomacy is an important tool for countries to support their business community during the internationalization process and afterwards. Nevertheless, commercial diplomacy literature is still in its infancy. Therefore, this chapter reviews existing research on the topic and develops a framework, which integrates the topics examined so far and provides the reader with a more complete picture of the topic at hand.

By means of a literature review, this chapter shows that the body of literature involving research of both disciplines, International Relations and International Management, is still rather limited. As a consequence, we determine a future research agenda and call for more empirical studies, especially in the field of (political) economy.

Thème du Congrès Le 20° Congrès de l'AIEST sera consacré au sujet

Focuses on the year 2000, reviewing the periodical literature of information and library services management, and of the relevant literature from the field of management in general. Notes the themes of major conferences in the field of information and library services management, and of reference tools for library managers.

In this paper, the authors explore racialisation through human-centric counter-accounts (counter-stories) to bring together critical race theory (CRT) and counter-accounting.

The authors utilise CRT to demonstrate the emancipatory role of counter-stories in (re)telling racialized narratives, specifically the narrative of asylum seekers who arrive by sea and are subjected to the inhumane and oppressive nature of the Australian government's policy of offshore immigration detention.

Counter-stories, as tools of accountability, can make visible oppressive forces and the hidden practices of racialized social practices and norms.

This paper emphasises that we are not in a post-racial world, and racialisation remains a fundamental challenge. We must continue to refute race as an ontological truth and strive to provide a platform for counter-stories that can spark or drive social change. This requires allies, including academics, to give that platform, support their plight, and offer avenues for change.

The authors introduce CRT as a theoretical tool for examining racialisation, opening space for a more critical confluence of accounting and race with potentially wide-reaching implications for our discipline. The paper also contributes to the limited accounting literature concerning asylum seekers, particularly in the use of counter-stories that offer a way of refuting, or challenging, the majoritarian/dominant narratives around asylum-seeking.

Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model.

Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model based on four dimensions: concept definition, data structure, risk contagion network construction, and risk measurement indicators construction. We take the Jiangsu bond issuer guarantee network as a sample area.

Taking the Jiangsu bond issuer guarantee network as a sample area, we find that there is a strong correlation between the debts of non-financial corporation in China, and it is easy to become a potential regional systematic risk source. In addition, our empirical research also reveals that external risk exposure and node degree of network are two key indicators when identifying key risk-contagion enterprises.

The main contributions of this study are two-fold. First, this article proposes a two-tier risk contagion networks model to measure systematic risk in non-financial corporation. Second, this article describes the structure of the corporate risk contagion network.

The purpose of this paper is to explore whether the out-of-sample model bias plays an important role in predicting volatility.

Under the heterogeneous autoregressive realized volatility (HAR-RV) framework, we analyze the predictive power of out-of-sample model bias for the realized volatility (RV) of the Dow Jones Industrial Average (DJI) and the S&P 500 (SPX) indices from in-sample and out-of-sample perspectives respectively.

The in-sample results reveal that the prediction model including the model bias can obtain bigger R², and the out-of-sample empirical results based on several evaluation methods suggest that the prediction model incorporating model bias can improve forecast accuracy for the RV of the DJI and the SPX indices. That is, model bias can enhance the predictability of original HAR family models.

The author introduce out-of-sample model bias into HAR family models to enhance model capability in predicting realized volatility.