The book “Money laundering phenomenon – foundations, trends, impact and governance in banking industry” explores foundation, models (methods) to measure money laundering, trends, auditing Anti-Money Laundering structures in banking industry, AML risk assessment, impact/effects of money laundering, governance, and regulatory point of view.

The book includes some models that have been used to measure the amount of money laundering, respectively the effect of money laundering in various macroeconomic variables such as economic growth, consumption, investment, government expenditure, export and import. Moreover, there are presented some trends that may dominate in the AML field for coming years.

The strengthening of international cooperation in the field of anti-money laundering have given power to international organisations to recommend mitigating measures, standards and principles and applying them in practise, this is why in the book a special chapter is dedicated to international bodies and organisations to fight money laundering phenomenon.

Due to high importance of the AML risk assessment, as a risk management mechanism framework, a specific chapter is dedicated to it.

A special attention is dedicated to the auditing of AML structures in banking and the role of audit in general to AML field.

Last, but not least, in the book a chapter is dedicated to determinants of informal economy, since money laundering and informal economy are interconnected and needs to be studied as one of the challenges for countries.

We believe our book contributes to current literature on money laundering phenomena and that it is important for bankers, policy makers, strategists, academics, and students.

Globalization and related technological developments have increased competition and put organizations in a struggle to survive in an extremely difficult market condition. Organizations adopt their technologies and infrastructures to today’s conditions to gain a sustainable competitive advantage and maintain their existence. However, all these efforts of organizations are easily imitated by rival companies and may cause the loss of competitive advantage.

The resource-based view provides additional information that strategic human resource is the scarce, valuable, inimitable and non-substitutable resources of organizations, thus enabling them to gain a competitive advantage. According to this view, the competitive advantage of the organization is achieved by combining valuable internal resources. Nowadays, sustainable competitive advantage is provided not by environmental factors or physical capital but by human capital (employees) efficiency. In this context, the attitudes and behaviors of employees who make up human resources are important for their organizational success. Many studies emphasize that positive attitudes and behaviors (e.g. innovative work behavior, work engagement, job satisfaction) in employees have important contributions to the success of the organization, while similarly negative attitudes and behaviors (e.g. organizational silence, turnover intention) are one of the main reasons for the failure of the organization.

In our book, literature has been created on the definition, antecedents, and organizational results of new and current concepts that are newly conceptualized in the literature and are still in their infancy. It is considered that this cumulative literature within the book will be a source for future studies on these subjects and will provide important insights for practitioners.

Understanding the behavior of asset prices is essential in evaluating investment decisions so that practitioners and academics have been investigating what assets are worth and whether asset prices are predictable. The degree of stock return predictability is a statistical concept and totally an empirical issue. In this study, we conduct an empirical application on the equity premium forecastability concept. We consider both macroeconomic and technical indicators in order to predict the equity risk premiums of selected thirteen stock markets including Belgium, Greece, Malaysia, Mexico, Portugal, Spain, Taiwan, Turkey, Brazil, Hong-Kong, India, Russia, and South Africa. Incorporating information from all indicators including domestic and foreign macroeconomic indicators, oil price changes, and technical indicators provides in-sample fitting gains. Out-of-sample forecasting results show that the strategy of combining forecasts provides out-of-sample gains. Portfolio performance analyses suggests following the forecasts generated by the proposed models to obtain positive returns over the buy-and-hold strategy.