This book provides thorough and highly accessible mathematical coverage of the fundamental topics of intermediate investments, including fixed-income securities, capital asset pricing theory, derivatives, and innovations in optimal portfolio growth and valuation of multi-period risky investments. This text presents essential ideas of investments and their applications, offering students the most comprehensive treatment of the subject available.

A proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects. Large particle accelerators, outer space probes, genomics platforms: all are scientific enterprises managed through the new form of the research infrastructure, in which communities of scientists collaborate across nations, universities, research institutions, and disciplines. Such large projects are often publicly funded, with no accepted way to measure the benefits to society of these investments. In this book, Massimo Florio suggests the use of cost-benefit analysis (CBA) to evaluate the socioeconomic impact of public investment in large and costly scientific projects. The core concept of CBA of any infrastructure is to undertake the consistent intertemporal accounting of social welfare effects using the available information. Florio develops a simple framework for such accounting in the research infrastructure context and then offers a systematic analysis of the benefits in terms of the social agents involved. He measures the benefits to scientists, students, and postdoctoral researchers; the effect on firms of knowledge spillovers; the benefits to users of information technology and science-based innovation; the welfare effects on the general public of cultural services provided by RIs; and the willingness of taxpayers to fund scientific knowledge creation. Finally, Florio shows how these costs and benefits can be expressed in the form of stochastic net present value and other summary indicators.

Financial markets continually evolve, but underneath these innovations are fundamental principles-such as present value, leverage, hedging, efficient markets, and the conservation of value. These enduring principles are more important than transitory details. Investing is not a multiple-choice test that can be passed by memorizing soon-obsolete facts like the name of the largest brokerage firm or the number of stocks traded on the New York Stock Exchange. The great British economist John Maynard Keynes wrote that the master-economist must possess a rare combination of gifts. He must be mathematician, historian, statesman, philosopher-in some degree. He must understand symbols and speak in words. He must contemplate the particular in terms of the general, and touch abstract and concrete in the same flight of thought. He must study the present in the light of the past for the purposes of the future. No part of man's nature or his institutions must lie entirely outside his regard. The same could be said of the master investor. Our understanding of financial markets and investments depends on mathematical analysis. How could we predict investment income without models? How could we calculate present values without equations? How could we gauge uncertainty without statistics? However, a deep understanding of investments depends on our recognition of the limitations of models, no matter how scientific they appear, no matter if they were developed by Nobel laureates. The Art and Science of Investing explains the financial models that are most useful for investors, and also explains how their usefulness depends critically on a recognition of their limitations-why there is both a science and an art to successful investing.

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

Four modules explore topics in physical science, earth and space science, life science, and science and technology with hands-on activities designed to engage students in the processes of scientific inquiry and technological design. Modules within a developmental level may be taught in any sequence.

Four modules explore topics in physical science, earth and space science, life science, and science and technology with hands-on activities designed to engage students in the processes of scientific inquiry and technological design. Modules within a developmental level may be taught in any sequence.

Four modules explore topics in physical science, earth and space science, life science, and science and technology with hands-on activities designed to engage students in the processes of scientific inquiry and technological design. Modules within a developmental level may be taught in any sequence.

Four modules explore topics in physical science, earth and space science, life science, and science and technology with hands-on activities designed to engage students in the processes of scientific inquiry and technological design. Modules within a developmental level may be taught in any sequence.

Dinosaurs are every students fascination. Reproducible, hands-on activities give students the opportunity to experience how the scientific process works and how scientists form and test conclusions. Students build and employ skills in analysis, drawing, measuring, graphing, and arithmetic; exercise research and library skills to acquire data necessary to complete the activities; and apply critical-thinking skills to extrapolate from the known to the unknown-the fundamental process that makes science work. Grades 4-12.