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The purpose of this study aims to analyze the dynamic behavior of the relationship between atmospheric carbon emissions and the Organisation for Economic Co-operation and Development (OECD) industrial production index (IPI) in the short and long term by applying multifractal techniques.

Multifractal de-trended cross-correlation technique is used for this analysis based on the relevant literature. In addition, it is the most widely used approach to estimate multifractality because it generates robust empirical results against non-stationarities in the time series.

It is revealed that industrial production causes long and short term environmental costs. The OECD IPI and atmospheric carbon emissions were found to have a strong correlation between the time domain. However, this relationship does not mostly take into account the frequency-based correlations with the tail effects caused by shocks that are effective on the economy. In this study, the long-term dependence of the relationship between the OECD IPI and atmospheric carbon emissions differs from the correlation obtained by linear methods, as the analysis is based on the frequency. The major finding is that the Hurst coefficient is in the range 0.40-0.75 indicating.

In this study, the local singular behavior of the time-series is analyzed to test for the multifractality characteristics of the series. In this context, the scaling exponents and the singularity spectrum are obtained to determine the origins of this multifractality. The multifractal time series are defined as the set of points with a given singularity exponent a where this exponent a is illustrated as a fractal with fractal dimension f(α). Therefore, the multifractality term indicates the existence of fluctuations, which are non-uniform and more importantly, their relative frequencies are also scale-dependent.

The results provide information based on the fluctuation in IPI, which determines the main conjuncture of the economy. An optimal strategy for shaping the consequences of climate change resulting from industrial production activities will not only need to be quite comprehensive and global in scale but also policies will need to be applicable to the national and local conditions of the given nation and adaptable to the needs of the country.

The results provide information for the analysis of the environmental cost of climate change depending on the magnitude of the impact on the total supply. In addition to environmental problems, climate change leads to economic problems, and hence, policy instruments are introduced to fight against the adverse effects of it.

This study may be of practical and technical importance in regional climate change forecasting, extreme carbon emission regulations and industrial production resource management in the world economy. Hence, the major contribution of this study is to introduce an approach to sustainability for the analysis of the environmental cost of growth in the supply side economy.

The purpose of this study is to analyze the cybersecurity assurance approaches to determine the key issues and weaknesses within the internal audit and risk management perspective. Organizations increasingly rely on digital data to drive their growth and they are interconnected in a complex web to a multitude of stakeholders.

In this paper, cybersecurity is defined, and cybersecurity assurance model is explained based on the relevant literature. In addition, the role of internal auditing is introduced within this new business landscape. Finally, recommendations are made to provide best practices for stakeholders.

There are four major cyber-focused standards and frameworks in the current literature, namely, Control Objectives for Information and Related Technology, International Organization for Standardization, The American Institute of Certified Public Accountants and National Institute of Standards and Technology. In addition, there are many mechanisms in existence and operation currently which support cybersecurity assurance to prevent major threats. These include risk assessment, risk treatment, risk management, security assurance and auditing.

Cyber risk is not something that can be avoided; instead, it must be managed. Hence, it is very important to maintain formal documentation on related cyber controls. Internal audit should be an integral part of cybersecurity assurance process, as internal audit have a unique position to look across organizations. The contribution of internal audit also provides comfort to the Board and Audit Committee.

A model is introduced how the internal audit and information security functions could work together to support organizations accomplish a cost-effective level of information security. The key issues and approaches are explained for how to become a trusted cybersecurity advisor and a sample cybersecurity awareness program checklist is provided at Appendix 1.

Considering cybersecurity threats grow with speed, complexity, and impact, organizations are no longer satisfied with an answer to a question like “are we secure?” instead, they need the answer for such a question like “how to give a reasonable assurance that our business will be secure enough?”. In that respect, the role of internal audit is discussed based on the relevant literature and the current condition of the business environment.

A model is introduced how the internal audit and information security functions could work together to support organizations accomplish a cost-effective level of information security. The key issues and approaches are explained for how to become a trusted cybersecurity advisor and a sample cybersecurity awareness program checklist is provided at Appendix 1.

Introduction: The circular economy is observed as a good sustainability practice that has gained importance recently. The effects of this practice specific to the financial industry are examined in the context of green accounting, finance, and sustainability reporting standards and needs.

Purpose: This chapter aims to analyse the impact of the circular economy on the finance industry based on three research questions: (1) What benefits and challenges does the circular economy bring to the financial industry? (2) What should be the financial industry’s strategic roadmap and business model for transitioning from a linear economy to a circular economy? (3) What are the differentiating aspects of ecosystem accounting and environmental accounting in its structure and use in the financial industry?

Methodology: The method of our work is based on a ‘strategic road map for circular economy’ implementation and a ‘sustainability business model framework’ relevant to the finance industry. Thus, we systematically present the ‘value generation process’ considering the industry trends and dynamics and regulatory challenges regarding ‘green business model’ management with a strategic approach.

Findings: To coordinate the transition to a circular economy based on systematic knowledge about the state of ecosystems and their interactions with society, it is necessary to design monitoring, accounting and reporting systems that adapt to the new business operating environment. This chapter provides recommendations from the perspective of the financial sector.

Introduction: In this study, approaches based on right-tail unit root tests are used to analyze high-frequency time series. Although these approaches successfully capture unusually extreme price movements (bubbles) in financial markets, they can be biased in policymaking and forecasting. Testing the parameter stability enables the detection of both unusual price behavior and possible change points within the framework of the volatility approach. The break dates that cause the parameter change on the return series can be obtained, and the differentiation in the period can be seen.

Purpose: In this study, the analysis of periods that differ from the “changing parameter values” of the volatility process that emerged after November 2018 in the Borsa Istanbul (BIST) is made by using a new econometric approach in terms of change dates, parameter stability, and explosiveness characteristics. In this way, starting from determining periods with stable parameter values, the volatility process is tested to decide whether or not it shows an explosive feature.

Methodology: This study’s mainstay was published in February 2023. The findings reached within the framework of the knowledge provided by the technique in question will be the first in the applied literature. We used a uniform test for a mildly explosive GARCH process with double supreme statistics for BIST.

Findings: BIST is significantly affected by social and political events. This result implies that the “semi-efficient” market hypothesis for BIST needs to be re-examined in this context.

Introduction – The rapid flow of information between the markets eliminates the possibility of diversifying the portfolio by bringing the markets closer, and may cause the volatility in a market to spread to another market. In this context, revealing the relationships between conventional and participation markets or financial assets is important in terms of portfolio diversification and risk management.

Purpose – The major aim of this work is to analyse the existence of volatility spillover between conventional stock index and participation index based on the indexes in Turkish Capital Markets. BIST-30 and Katılım-30 indexes are used as the representatives of conventional stock index and participation index, respectively.

Methodology – Firstly, the univariate HYGARCH (1,d,1) parameters are calculated, and secondly, the dynamic equicorrelation (DECO) methodology is applied. DECO model is proposed to simplify structural assumptions by introducing a structure in which all twosomes of returns take the same correlation for a given time period. In this way, DECO model enables to have an optimal portfolio selection in comparison to an unrestricted time varying-dynamic correlation approaches and gives more advanced forecasting ability for the duration of the financial crisis periods compared to the various portfolios.

Findings – There is a strong correlation between BIST-30 and Katılım-30. They are affected by the same shocks. We expect to see different investor behaviours for Katılım-30 and BIST-30. However, they seem to have almost the same investor profile. In addition, there is a causality in both ways and volatility spillover between them.