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Unveiling the Financial Market: Data, Definitions, and Modeling Techniques

Chris (Autor)

Buch | Softcover

176 Seiten

2024
tredition (Verlag)
978-3-384-24603-5 (ISBN)

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In this book, we will present and apply methods specifically designed to model the financial market, but, before starting to discuss the models, we need to make a brief introduction to the data that we will be working with.Our data consists on financial asset prices from several stock exchanges, with special attention to the New York Stock Exchange, the London Stock Exchange and the Lisbon Stock Exchange. Also, we focused on stock and forex (foreign exchange market) prices, because these present higher volatility and volume (i.e., more trades), and the data related to these assets is easier to obtain. Here, volatility is a statistical measure of the dispersion of returns for a given financial asset. It is often measured as either the standard deviation or variance between returns from that same asset.Moving further we will often use the terms "stock exchange" and "financial market" interchange-ably, but they slightly di er. The term "financial market" broadly refers to any marketplace where the trading of securities occurs, including the stock market, bond market, forex market, and derivatives market, among others, whilst the "stock exchange" is a facility where stockbro-kers and traders can buy and sell securities, such as shares of stock, bonds and other financial instruments. However, whenever we refer to the financial market we will be referring to the stock exchange.

In "Innate Defense: Cells & Function," Professor Chris delves into the intricate mechanisms of our body's innate immune system, illuminating the pivotal role of various cellular defenders in safeguarding against pathogens and maintaining homeostasis. This comprehensive work merges cutting-edge research with accessible insights, offering a compelling exploration of innate immunity. Professor Chris, a distinguished immunologist renowned for his expertise in cellular immunology, brings decades of research and teaching experience to this groundbreaking book. With a passion for unraveling the complexities of immune responses, Chris elucidates the fundamental principles governing innate defense mechanisms, from the identification of pathogens by pattern recognition receptors to the orchestrated responses of phagocytes, natural killer cells, and other sentinel cells. The book offers a detailed examination of the diverse functions of innate immune cells, highlighting their roles in tissue surveillance, inflammation, and the initiation of adaptive immune responses. Through clear explanations and illustrative examples, Chris elucidates how these cellular processes contribute to overall immune defense and disease prevention. "Innate Defense: Cells & Function" serves as a vital resource for students, researchers, and healthcare professionals seeking a deeper understanding of innate immunity. It seamlessly integrates foundational concepts with recent advancements, making complex immunological topics accessible to readers at all levels of expertise. Professor Chris's narrative style engages readers, fostering curiosity and appreciation for the intricate biology of innate defense. This book is not merely a compilation of facts; it is an invitation to explore the fascinating world of cellular immunology, empowering readers with knowledge essential for tackling infectious diseases and advancing biomedical research.

Erscheint lt. Verlag	1.6.2024
Verlagsort	hg
Sprache	englisch
Maße	155 x 234 mm
Gewicht	305 g
Themenwelt	Sachbuch/Ratgeber ► Beruf / Finanzen / Recht / Wirtschaft ► Geld / Bank / Börse
	Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung
	Wirtschaft ► Betriebswirtschaft / Management ► Rechnungswesen / Bilanzen
	Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
Schlagworte	algorithmic trading • Asset pricing models • Econometrics • Financial Data Analysis • financial forecasting • Financial markets terminology • financial modeling • Investment decision making • Machine learning in finance • Market Efficiency Hypothesis • Quantitative Finance • Risk Management • Time Series Analysis
ISBN-10	3-384-24603-9 / 3384246039
ISBN-13	978-3-384-24603-5 / 9783384246035
Zustand	Neuware