1.

Record Nr.

UNISALENTO991001240889707536

Autore

Morabito, Carmela

Titolo

Introduzione alla storia della psicologia / Carmela Morabito

Pubbl/distr/stampa

Roma [etc.] : GLF editori Laterza, 2007

ISBN

9788842084617

Descrizione fisica

xiv, 235 p. : ill. ; 24 cm

Collana

Manuali di base (Laterza) ; 38

Disciplina

150

Soggetti

Psicologia - Storia - Manuali

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910740393003321

Autore

Mancino, Nicola

Titolo

Giustizia sotto tiro / Nicola Mancino

Pubbl/distr/stampa

Roma, : Tipar, 2010

Descrizione fisica

221 p. ; 24 cm

Locazione

FLFBC

Collocazione

DFT C40 MANN 01

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9910983303903321

Autore

Ma Lingjie

Titolo

Nonlinear Investing: A Quantamental Approach / / by Lingjie Ma

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

9783031763052

303176305X

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (434 pages)

Collana

Mathematics and Statistics Series

Disciplina

300.727

Soggetti

Statistics

Information visualization

Multivariate analysis

Statistics in Business, Management, Economics, Finance, Insurance

Data and Information Visualization

Multivariate Analysis

Estadística

Anàlisi multivariable

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Chapter 1 Introduction -- Chapter 2 Quantamental Analysis -- Chapter 3 Nonlinear Factor Effects on Returns -- Chapter 4 Nonlinear Alpha Modeling -- Chapter 5 Tail Portfolios -- Chapter 6 Nonlinear Investing: Japan Stock Selection Strategy -- Chapter 7 Nonlinear Investing: Currency -- Chapter 9 Nonlinear Investing: Commodity -- Index.

Sommario/riassunto

This book focuses on nonlinear investing with a quantamental approach. Pricing relationships in financial markets are often nonlinear, which raises serious questions for portfolio management: How can we characterize nonlinear patterns in asset pricing? Why do such nonlinear patterns occur and in what contexts? How can we know whether such relationships will persist in the future? And how much is the value added by a nonlinear over a linear model? These questions cannot be answered by piecing together fundamental prospects based on personal experience and preference, which can be biased, or by



torturing the data to make it confess whatever we want (particularly big data, which allows more freedom for data mining). Rather, nonlinear investing should rely on both fundamental insights and quantitative analysis: the former ensures that similar nonlinear patterns will occur in the future and the latter validates the nonlinear pattern with historical data. In this way, quant marries fundamental: a quantamental approach! The book provides a systematic guide to conducting nonlinear investing through quantamental analysis. The author demonstrates how nonlinear investment strategies, achieving both depth and breadth, add significant value to portfolio performance for different asset classes. The primary audience for this book is senior professional investors and quant/fundamental investment shops who look for new ideas to enhance their existing products or develop new products. The book will also be helpful to finance faculty and graduate students who are interested in frontier industry practices.