الصفحة 1
الصفحة 1
Modern cryptography ; Vol.1 : A classical introduction to informational and mathematical principle
This book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms and the mathematical principles behind various encryption and decryption algorithms. The theory stems from technology. Based on Shannon's information theory, this book systematically introduces the information theory, statistical characteristics and computational complexity theory of public key cryptography, focusing on the three main algorithms of public key cryptography, RSA, discrete logarithm and elliptic curve cryptosystem.
Islamic FinTech : Insights and Solutions
Addresses the effects and implications of rapid technological changes within the financial services industry on Islamic finance and Islamic banks. Exploring current challenges, opportunities and threats, the authors provide an overview of how FinTech can operate within an Islamic context, under the Shari’ah principles or the Halal framework, for example. Examining the potential opportunities of Islamic FinTech from a socio-economic perspective, this edited collection will be of use to anyone researching FinTech or Islamic Finance as well as practitioners and policy-makers involved in banking and financial services.
Implementing machine learning for finance : A systematic approach to predictive risk and performance analysis for investment portfolios
Introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management / Know the concepts of feature engineering, data visualization, and hyperparameter optimization / Design, build, and test supervised and unsupervised ML and DL models / Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices / Structure and optimize an investment portfolio with preeminent asset classes and measure the / underlying risk
From Opinion Mining to Financial Argument Mining
Financial opinion mining is a branch of traditional opinion mining and sentiment analysis which shares the basic notions of traditional approaches and adds its own domain-specific characteristics. In Sect. 1.1, we start with a common definition of general opinion mining after which we briefly overview traditional research directions.
Financial Technology : Case Studies in Fintech Innovation
Combines theoretical and commercial perspectives informed by the author's professional experience and academic research Thoroughly explains key technologies and emerging business models in a clear and accessible manner for those with no technological background Includes a mix of international case studies from large financial services organizations and smaller start-ups, including Lloyds Bank, TransferWise, Generali, Starling and Stocktwits Covers the topics required for postgraduate and undergraduate Financial Technology courses and includes learning objectives and discussion questions based on case studies
Financial technologies and DeFi : A revisit to the digital finance revolution
Fleshes out the core developments and trending fintech 2.0 solutions that pause challenges and bring opportunities for businesses and economies. It comprises nine main chapters with collective insights and interdisciplinary perspectives covering the business, tech, and regulatory layers of financial technologies and decentralized finance. Besides, the book illustrates how to leverage these state-of-the-art technologies for the evolving digital and decentralized finance world.
Digitalization and the Future of Financial Services : Innovation and Impact of Digital Finance
The aim of this book is to extend our understandings on how digitalization and the future of financial services can be helpful in different business circumstances in many cross-functional financial areas, such as financial markets, financial risk management, financial technologies, investment finance, etc. Thus, the book aims at addressing the relevance of digital finance for different players, highlighting differences in tools and processes as well as identifying innovative practices in financial digitalization.
Analyzing the availability of fin tech and its role in enhancing the strategic : Performance of Syrian banks using the balanced scorecard
Aims to examine the role of financial technology (FinTech) in enhancing the strategic performance of Syrian banks by analyzing its impact on the four dimensions of the balanced scorecard : financial performance, customer satisfaction, internal process quality, and learning and growth. Amid economic and technological challenges, integrating fintech emerges as a strategic tool to boost operational efficiency, reduce costs, and promote financial inclusion. The study explores the experiences of several Syrian banks in implementing modern financial technologies, such as digital banking and smart payment systems, while evaluating key financial indicators like return on assets (ROA) and return on equity (ROE).
