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Introduction: The insurance industry is vulnerable to attacks as it deals with the personal information of its consumers and puts the insurance company’s business at risk in the event of data breach or abuse. To ensure the security of customer data, insurance companies must comply with various data protection requirements, including requirements imposed by laws, regulations, and standards. Following such a wide range of conditions can be challenging for insurance providers. For a long time, risk management has controlled data protection to ensure compliance with data protection law and ensure that data are processed correctly and that people’s fundamental rights are protected effectively.

Purpose: This chapter explains the role and significance of risk management. An organised way to identify and assess risks, mitigate or avoid risks as much as possible, and then manage and accept the remaining risks, implemented in data protection as needed, explained by the supervisory authority, is implemented by the responsible organisation. This document highlights the growing consensus surrounding risk management as an essential tool for adequate data protection. Furthermore, it addresses vital considerations that affect the role of risk in data protection law and practice.

Need for study: There is an increasing consensus towards the role and significance of risk management in data protection in the insurance market. As a result, regulators and legislators are focussing on valuable and new attention on standardising and expanding data protection in risk management practices. This paper has attempted to identify critical issues and principles of risk management in data protection.

Methodology: Secondary data analysis was conducted in this study by reviewing literature related to data protection, risk management, and the insurance sector. Again, science direct was used as a source of information. For this study, the literature review approach was chosen since it allows us to trace the growth of the subject matter and identify the patterns that have formed through time.

Findings: The insurance industry comprises general insurance and life insurance. It is found that there are various studies conducted on the privacy violation and data breaches of individuals in the insurance industry. The study also identifies the factors causing privacy issues and recommends improving data privacy management in the insurance market.

Practical implications: The current study can be referred to by academicians, marketers, industry people, and policymakers. In addition, the study encourages companies and academicians to investigate further the process of data protection in the insurance industry.

The purpose of this study is to formulate a proposal to fill the gap in national legislation, which will increase the effectiveness of mandatory environmental insurance.

This is a review of scientific doctrine and legislation, which shows the problems and prospects for the development of mandatory environmental insurance on the example of one country.

At the moment, environmental insurance in Russia is at the very beginning of its development. Despite the experiments carried out and fragmentary references in the law, there is a classic example of a gap in the law, when the procedure provided for by the norms of law lacks a clear implementation mechanism. To fill this gap and increase the effectiveness of environmental insurance, the authors propose to clearly localize the scope of its operation, fixing the obligation of environmental insurance only for objects that have a significant or moderate negative impact on the environment (objects of categories I and II), provided for by the Federal Law “On mandatory Environmental Protection.”

A new concept of a mandatory environmental insurance contract is substantiated, which optimizes civil liability for causing harm to the environment, life, health and property of citizens (property of legal entities) as a result of accidents and man-made disasters.

Returns to a model farm are simulated to assess the impact of marketing and insurance risk management tools as measured by mean net returns and returns at 5% value‐at‐risk (VaR). Results indicate that revenue insurance strategies and strategies involving a combination of price and yield protection provide substantial downside revenue protection, while mean net returns only modestly differ from the benchmark harvest sale strategy when considering all years between 1986 and 2000.

This study on corporate demand for general takāful (Islamic insurance) aims to identify potential growth areas and areas for improvement in takāful business practices in Malaysia.

A survey on corporates’ protection needs, takāful/insurance coverage obtained and awareness on takāful/insurance was conducted for this paper.

The findings from the survey are as follows: There is potential for takāful operators to further penetrate the corporate sector, as the majority of respondents indicated willingness to spend on takāful/insurance. Emphasis on takāful value propositions apart from its Sharīʿah compliance status is needed to attract corporates, as respondents were found to be indifferent on Sharīʿah compliance status of their protection. Strong market presence, expanded product offerings and efficient services were key determinants to attract takāful subscription. Respondents’ heavy reliance on intermediaries warrants strong collaboration with intermediaries to widen market outreach. The small and medium enterprises segment appeared promising, as it is found to be underserved despite having higher propensity to obtain takāful/insurance coverage compared to the overall respondents.

This study is limited to Malaysia’s experience. The findings are indicative (though they may not be conclusive) of the target segment as well as the takāful industry as a whole.

The insights on respondents’ considerations when obtaining takāful/insurance coverage and the correlation of these factors with respondents’ characteristics can assist takāful/insurance providers in structuring products and business strategies to better serve this market segment. The paper may also aid discussions among researchers and regulators on areas for further development of the industry.

The purpose of this paper is to explore the full potential of an effective deposit insurance system. The current financial crisis in Europe has arguably casted fresh doubt on the role and need for deposit insurance. In this regard, the deposit insurance system’s rationale is a key starting issue in order to fully understand its design and role within a financial safety net system.

Using the UK regulatory regime as the main reference point, the deposit insurance system’s objectives are divided into two broad categories: depositor protection and financial stability.

It is argued that a deposit insurance system could only be effective if designed to perform key regulatory objectives. Otherwise, authorities will keep resorting to other rescue measures, as this system will never be well equipped to respond to a bank failure.

Notwithstanding recent regulatory reforms, there is still a lack of clear objectives and, thus, a clear profile for the Financial Services Compensation Scheme, as the UK deposit compensation scheme. In light of systemic risk and increased demands on prudential banking regulation, the UK deposit insurance system should be reformed to perform significant regulatory objectives.

The further reform of the UK deposit insurance will enhance depositor protection and financial stability, especially amid the euro-crisis.

An effective reform of deposit insurance requires a clear role-setting for deposit insurance. To this end, this paper offers a comprehensive analysis of all regulatory objectives that the post-crisis UK deposit insurance system should serve.

Purpose: The primary objective of this investigation is to determine the importance of big data, machine learning, and systems integration in the creation, production, and promotion of the corporation’s life insurance products marketed in India overall designated insurance carriers. It is also necessary to investigate the function of these instruments in the sectors financial designed and operated managing approaches.

Methodology: The approach used for this analysis is mainly connected to evolutionary and exploratory research. Secondary information is used to obtain the necessary data for the study topic. Secondary data included scientific papers and videos supplied by specialists in diverse domains.

Findings: In this chapter, the authors explain the financial function of large data sets, computer sciences, and content marketing modelling and simulation in the designing, developing, and deploying financial products. The researcher investigated the sale of life insurance plans in India. Insurance Governing Planning Commission is a controlling organisation from the Government of India that oversees all registered insurance businesses in India. Insurance Regulatory and Development Authority (IRDAI) regulates a total of 60 businesses. Thirty-four are in the commercial banking industry, 24 are in the life insurance industry, and 2 are more significant than the average total cost.

Practical implication: Data analytics approaches in financial technological processes and private insurers are helping them increase their business turnovers, collections, and revenue. Similarly, big analysis of data is becoming increasingly important in corporate finance in the life insurance industry, particularly in improving operations, as well as attempting to address numerous problems such as how to optimise marketing strategies and how to enhance customer experience, which has resulted in the most significant goal of improving operational efficiency in the financial industry.

The purpose of this paper is to use simulation analysis to assess farmer choice between crop insurance and supplemental revenue options as proposed during development of the Agricultural Act of 2014.

The certainty equivalent of wealth is used to rank farm choices and assess the effects of supplemental revenue options on the crop insurance plan and coverage level chosen by the producer under a range of farm attributes. The risk-reducing effectiveness of the select programs is also examined through their impact on the farm revenue distribution. The dependence structure of yield and prices is modeled by applying copula techniques on historical data.

Farm program supplemental revenue programs generally have no effect on crop insurance choices. Crop insurance supplemental revenue programs typically reduce crop insurance coverage at high coverage levels. An individual plan of crop insurance combined with a supplemental revenue insurance plan may substitute for incumbent area crop insurance plans.

The analysis provides insights into farmers’ possible choices by focussing on alternative crops and farm attributes and extensive scenarios, using current data, crop insurance plans and programs contained in the 2014 Farm Bill and related bills. The results should be of value to policy officials and producers in regards to the design and use of risk management tools.

The Takāful (Islamic insurance) industry operates on the principles of Maqāṣid al-Sharī’ah, and of late, the industry has witnessed significant market growth. The purpose of this study is to develop a performance measurement model based on Maqāṣid al-Sharī’ah to evaluate the performance of Takāful firms.

A mixed-method research approach was adopted to conduct the present study. Priorities were assigned to various dimensions of the Maqāṣid model using analytic hierarchy process and by taking inputs from 18 Takāful experts. On the contrary, six experts were involved in identifying the elements and measures for the operationalization of the Maqāṣid dimensions.

Maṣlaḥa (0.359) was found to possess the highest priority, followed by Justice (0.345) and Educating Individuals (0.295). Furthermore, under Necessity, protection of religion (0.398) and protection of life (0.388) are assigned almost similar priorities. These two are followed by the protection of progeny (0.107), protection of wealth (0.058) and protection of intellect (0.047). The final outcome of this study is a hierarchical model for the evaluation of performance of Takāful firms.

The application of the performance evaluation model will provide information to the management of Takāful firms on where they stand in terms of fulfilling Maqāṣid al-Sharī’ah principles. If any firms are found to have a deficiency in a certain part of Maqāṣid components, then proper and adequate measures can be taken to ameliorate the situation.

It is necessary to have a performance evaluation model based upon Maqāṣid al-Sharī’ah to evaluate the performance of Takāful firms as these firms operate on the principles of Maqāṣid al-Sharī’ah. Because there does not exist any such model, this study fills up this gap. Details of the measures that can be used to evaluate the performance of Takāful firms are also provided.

The USDA’s Risk Management Agency (RMA) made several changes to the crop insurance products available to organic growers for the 2014 crop year. Most notably, a 5 percent premium surcharge was removed and organic-specific transitional yields (t-yields) were issued for the first time. The purpose of this paper is to use farm-level organic crop yield data to analyze the impact of these reforms on producer insurance outcomes and compare the insurance options for new organic growers.

This study uses a unique panel data set of organic corn and soybean yields to analyze the impact of organic crop insurance reforms. Actual Production History values and premium rates are calculated for each farm and crop yield sequence. Producer loss ratios and subsidized premium wedges are compared for yield, revenue and area-risk products before and after the instituted reforms.

Results indicate that RMA succeeded in improving the actuarial soundness of the organic insurance program, though further refinement of organic t-yields may be necessary to accurately reflect the yield potential of organic producers and avoid reductions in program participation.

This paper provides insight into the effectiveness of reforms intended to improve the actuarial soundness of organic crop insurance and demonstrates the effect that the reforms are likely to have on new and existing organic farms. Because this analysis uses data collected independently of RMA and includes farms that may or may not have purchased crop insurance, it avoids the self-selection problems that might affect analyses using crop insurance program data.