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"Every stock market investor needs to be able to calculate value, profits, and cash flow in order to make basic decisions like whether to buy, hold, or sell. But it's easy to get intimidated by all the ratios and formulas, especially when incorrect calculations can lead to costly investment mistakes. The Stock Investor's Pocket Calculator simplifies the math behind successful equity investing. Containing over 100 ratios and formulas, the book translates them into plain English, breaks them down into simple steps, and places them side-by-side with practical examples."

"Modern financial mathematics relies on the theory of random processes in time, reflecting the erratic fluctuations in financial markets.This book introduces the fascinating area of financial mathematics and its calculus in an accessible manner geared toward undergraduate students. Using little high-level mathematics, the author presents the basic methods for evaluating financial options and building financial simulations."

"Pembentukan portofolio investasi merupakan salah satu bagian penting bagi investor untuk mengantisipasi kerugian. Untuk mendapatkan hasil investasi yang optimal, maka perlu untuk mencari portofolio yang optimal. Optimisasi portofolio mean-variance dilakukan dengan meminimumkan risiko portofolio yang diukur dari variansi portofolio dan kendala ekspektasi return portofolio sudah ditentukan. Optimisasi portofolio mean-variance dikategorikan sebagai masalah kontrol optimal stokastik, karena merupakan optimisasi dari suatu sistem dinamis. Untuk menyelesaikan masalah optimisasi portofolio mean-variance digunakan teori dualitas Lagrange dan persamaan Hamilton-Jacobi-Bellman. Solusi penyelesaian masalah yang diperoleh adalah formulasi proporsi investasi dalam portofolio yang memberikan portofolio optimal. Formula proporsi yang diperoleh merupakan fungsi dari waktu. Menggunakan data dari harga saham, diperoleh estimasi parameter dalam formula proporsi yang optimal. Dari hasil penghitungan formula, diperoleh bahwa proporsi portofolio dapat berubah seiring berjalannya waktu.

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The establishment of an investment portfolio is an important part for investors to anticipate losses. It is necessary to find the optimal portfolio to get the optimal investment result. The optimization of the mean variance portfolio is built by minimizing the portfolio risk measured by the portfolio variance and the specified expectation portfolio return becomes the constraint. The mean variance portfolio optimization is categorized as a stochastic optimal control problem, since it is an optimization of a dynamic system. The Lagrange duality and the Hamilton Jacobi Bellman equation are used to solve the mean variance portfolio optimization problem. The solution obtained is the formulation of the proportion of investment in the portfolio that provides an optimal portfolio. The proportion formula is a function of time. Using data from the stock price, parameter estimation in optimal proportion formula are obtained. The results of the calculation are portfolio proportions that may change over time."

"This book concentrates on discrete derivative pricing models, culminating in a careful and complete derivation of the Black-Scholes option pricing formulas as a limiting case of the Cox-Ross-Rubinstein discrete model. In this edition the material on probability has been condensed into fewer chapters, and the material on the capital asset pricing model has been removed. The mathematics is not watered down, but it is appropriate for the intended audience. Previous knowledge of measure theory is not needed and only a small amount of linear algebra is required. All necessary probability theory is developed throughout the book on a "need-to-know" basis. No background in finance is required, since the book contains a chapter on options. "