International Journal of Financial Engineering

This paper proposes a measure of disclosure of internal control of credit risk and explores the extent to which this disclosure improves the performance of Tunisian listed banks. We use a self-constructed disclosure index from content analysis. From regressing panel data applied on a sample of 11 listed Tunisian banks during the period from 2007 to 2017, we find that disclosure of Internal Control System of Credit Risk (DICSCR) improves the performance of banks through the implementation of methods and procedures for controlling credit risk. Moreover, the results show that the interactions between DICSCR and the audit committee, the risk committee, and the internal auditor enhance the performance of the banks. Constructing a measure of disclosure inherent to the internal control system of credit risk allows investors and depositors to make relevant decisions, leads to better understanding the level of risk when controlling the bank by internal auditors and external auditors as well. It provides the Central Bank with a useful tool for evaluating the credit risk of the banks.

The paper presents a series of advanced lattice methods aimed at evaluating an EAKO European-American Knock-Out contract. The first part of the paper deals with the numerical methods implemented for pricing: Binomial and Trinomial Stochastic trees, Adaptive Mesh Model, Pentanomial and Heptanomial lattice. In the second part, specific tests are designed to validate the code written in Matlab language. The study concludes by applying the most performing model to a real market case.

Islamic finance products have become very common in financial transactions, and thus offer new business opportunities. The objective of our study was to investigate the effect of distributing Islamic banking products on the financial performance of commercial banks, over a period of seven years (2010–2017). We use a Correlation analysis to carry out the strength of the relationship between our dependent variable: bank performance variable: return on assets, and independent variables which are Islamic products. Studying the variables collected, we found evidence that there was a significant positive relationship between bank performance: return on asset and Murabaha, Mudaraba, although Ijara had a positive relationship with return on assets but not significant. We notice that all the available Islamic products in commercial banks used, had a positive significant relation with the exclusion of Ijara which had positive insignificant relationship. This implies that an increase in using Islamic banking products in commercial banks will lead to increase in conventional Banks performance.

We study the problem of dynamically trading futures in a regime-switching market. Modeling the underlying asset price as a Markov-modulated diffusion process, we present a utility maximization approach to determine the optimal futures trading strategy. This leads to the analysis of the associated system of Hamilton–Jacobi–Bellman (HJB) equations, which are reduced to a system of linear ODEs. We apply our stochastic framework to two models, namely, the Regime-Switching Geometric Brownian Motion (RS-GBM) model and Regime-Switching Exponential Ornstein–Uhlenbeck (RS-XOU) model. Numerical examples are provided to illustrate the investor’s optimal futures positions and portfolio value across market regimes.

This paper proposed a method to control the weighted average price of manufacturer sales with the initially specified sales by the end of the trading interval on the commodity exchanges. The developed manufacturer sales strategy is proposed as a hedge against price slumps without the use of derivative financial instruments in commodity markets.

In this paper, we discuss about platform-oriented business approach which is a prerequisite of the frontrunners for any noble organizations to keep customers active, alive and compete the business in the digital age of information and platform focussed. We focussed the study on how to concentrate the strategic revolution in financial sector with various econometric tools.

In the current literature, regime-switching risk is NOT priced in the Markov-modulated jump-diffusion models for currency options. We therefore develop a hidden Markov-modulated jump-diffusion model under the regime-switching economy where the regime-switching risk is priced. In the model, the dynamics of the spot foreign exchange rate captures both the rare events and the time-inhomogeneity in the fluctuating currency market. In particular, the rare events are described by a compound Poisson process with log-normal jump amplitude, and the time-varying rates are formulated by a continuous-time finite-state Markov chain. Unlike previous research, the proposed model can price regime-switching risk, in addition to diffusion risk and jump risk, based on the Esscher transform conditional on a single initial regime of economy. Numerical experiments are conducted and their results reveal that the impact of pricing regime-switching risk on the currency option prices does not seem significant in contradictory to the findings made by Siu and Yang [Siu, TK and H Yang (2009). Option Pricing When The Regime-Switching Risk is priced. Acta Mathematicae Applicatae Sinica, English Series, Vol. 25, No. 3, pp. 369–388].

This paper refers to bank’s risk incentive problem which is one of the factors behind its risky behavior toward investing in projects. Using the relevant distributions of depositors’ bank balances, we study the risk incentive influence. As a result, the bank’s risk incentive is shown to be classified regarding depositors and bank’s shareholders who increase its capital, indicating the former being positive value and the latter negative. In this study, we use perpetual American put option and perpetual down and out call option. Thus, we examine changes in the influence of these incentives, showing several numerical examples.