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Trade Finance, International Trade, International Business, Emerging Markets, Textile Industry.

This case has been designed for the students studying courses on International Business during their graduation/post-graduation. Students are expected to have basic knowledge of International Trade and are also expected to study the different ways of financing the foreign trade to appreciate the case.

The case describes the various ways of financing of foreign trade. The case has been designed in the context of an Indian Textile Exporter who has grown steadily over the past years. As business has increased, simultaneously the requirement of funds for the exporter has also increased. Through the medium of conversations, the different ways of financing the foreign trade have been explained in detail. Equipped with this knowledge, students are required to discuss the pros and cons of the different ways of financing the foreign trade. The case also discusses the dilemma of foreign currency hedging. This is a common dilemma faced by importers and exporters as they grow over a period of time.

This case has been designed to: understand the various ways of financing the foreign trade and understand their merits and demerits; understand the difference between factoring and forfeiting understand how the Exim Bank of India plays an important role in supporting exporters and importers in India; and understand the various ways of hedging the foreign currency risk.

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The purpose of this study is to analyse and compile the literature on various option pricing models (OPM) or methodologies. The report highlights the gaps in the existing literature review and builds recommendations for potential scholars interested in the subject area.

In this study, the researchers used a systematic literature review procedure to collect data from Scopus. Bibliometric and structured network analyses were used to examine the bibliometric properties of 864 research documents.

As per the findings of the study, publication in the field has been increasing at a rate of 6% on average. This study also includes a list of the most influential and productive researchers, frequently used keywords and primary publications in this subject area. In particular, Thematic map and Sankey’s diagram for conceptual structure and for intellectual structure co-citation analysis and bibliographic coupling were used.

Based on the conclusion presented in this paper, there are several potential implications for research, practice and society.

This study provides useful insights for future research in the area of OPM in financial derivatives. Researchers can focus on impactful authors, significant work and productive countries and identify potential collaborators. The study also highlights the commonly used OPMs and emerging themes like machine learning and deep neural network models, which can inform practitioners about new developments in the field and guide the development of new models to address existing limitations.

The accurate pricing of financial derivatives has significant implications for society, as it can impact the stability of financial markets and the wider economy. The findings of this study, which identify the most commonly used OPMs and emerging themes, can help improve the accuracy of pricing and risk management in the financial derivatives sector, which can ultimately benefit society as a whole.

It is possibly the initial effort to consolidate the literature on calibration on option price by evaluating and analysing alternative OPM applied by researchers to guide future research in the right direction.