Emilio Tomasini | |
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Born | |
Occupation(s) | Trader, Financial analyst, Academic |
Emilio Tomasini is an Italian Financial analyst, quantitative trader, contributor to the field of technical analysis and the developer of many successful quantitative trading systems. He is famous for his book 'Trading Systems a new approach to portfolio optimization'. [1] He has been publishing since 1997 the daily newsletter Rendimento Borsa on www.emiliotomasini.it which provides technical and fundamental analysis of the financial markets. He is a financial advisor as far as quantitative trading is concerned for many major European banks and money management firms., [2] [3] [4]
Emilio Tomasini in 1995 started his career as a financial journalist in Rome for MF Milano Finanza, the leading Italian weekly financial magazine. After realising that fundamental and news analysis alone are not much useful in predicting future prices he quickly turned to quantitative finance developing the first commercial trading systems in Europe. In 1997 he started his newsletter "Rendimento Borsa" that today is one of the major Italian player in financial alternative press in Italy. [5] Emilio Tomasini served as an adjunct professor of Economics of the European Integration at the University of Modena and Reggio Emilia, Italy, from 2003 up to 2007 and since 2008 he is Adjunct Professor of Corporate Finance at the University of Bologna, Italy, the most ancient university in the world. [6] [7]
Emilio Tomasini is a firm believer of a broader European perspective for traders so that his trading tips and trading systems are often applied on European stocks or forgotten US futures. Emilio Tomasini is Chief Editor of the Italian edition of TRADERS' MAGAZINE www.traders-mag.it, the leading technical analysis and investment monthly publication in Europe with also a German, British, Spanish and Greek edition. [8] Every year since 1999 Emilio Tomasini organizes a European trading contest with real money TRADERS' CUP www.traders-cup.it, an event that gathers together the best European traders during a 3 months competition where both seasoned professional traders and newbies are looking for career opportunities in this launching pad for a serious start in the financial industry. [9] [10]
There are many ways to build a portfolio of different trading systems and different prices series. Emilio Tomasini started from the premise that traditional Markowitz theory, even if formally genial, has no predictive power since correlations among different prices series are varying from decade to decade. For example, correlation among energy products and industrial and transportation price series is not any longer the same today than in the seventies. It is why in "Trading systems: a new approach to systems development and portfolio optimization" . Emilio Tomasini presents for the first time ever some easy to understand and layman tools to change the cards on the table of portfolio analysis. The book has a very high evaluation on Amazon. [11]
In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. As a type of active management, it stands in contradiction to much of modern portfolio theory. The efficacy of technical analysis is disputed by the efficient-market hypothesis, which states that stock market prices are essentially unpredictable, and research on whether technical analysis offers any benefit has produced mixed results. It is distinguished from fundamental analysis, which considers a company's financial statements, health, and the overall state of the market and economy.
Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally operational risk, credit risk and market risk, with more specific variants as listed aside. As for risk management more generally, financial risk management requires identifying the sources of risk, measuring these, and crafting plans to mitigate them. See Finance § Risk management for an overview.
Bollinger Bands are a type of statistical chart characterizing the prices and volatility over time of a financial instrument or commodity, using a formulaic method propounded by John Bollinger in the 1980s. Financial traders employ these charts as a methodical tool to inform trading decisions, control automated trading systems, or as a component of technical analysis. Bollinger Bands display a graphical band and volatility in one two-dimensional chart.
A pairs trade or pair trading is a market neutral trading strategy enabling traders to profit from virtually any market conditions: uptrend, downtrend, or sideways movement. This strategy is categorized as a statistical arbitrage and convergence trading strategy. Pair trading was pioneered by Gerry Bamberger and later led by Nunzio Tartaglia's quantitative group at Morgan Stanley in the 1980s.
A stock trader or equity trader or share trader, also called a stock investor, is a person or company involved in trading equity securities and attempting to profit from the purchase and sale of those securities. Stock traders may be an investor, agent, hedger, arbitrageur, speculator, or stockbroker. Such equity trading in large publicly traded companies may be through a stock exchange. Stock shares in smaller public companies may be bought and sold in over-the-counter (OTC) markets or in some instances in equity crowdfunding platforms.
Computational finance is a branch of applied computer science that deals with problems of practical interest in finance. Some slightly different definitions are the study of data and algorithms currently used in finance and the mathematics of computer programs that realize financial models or systems.
In finance, a trading strategy is a fixed plan that is designed to achieve a profitable return by going long or short in markets.
The following outline is provided as an overview of and topical guide to finance:
David X. Li is a Chinese-born Canadian quantitative analyst and actuary who pioneered the use of Gaussian copula models for the pricing of collateralized debt obligations (CDOs) in the early 2000s. The Financial Times has called him "the world’s most influential actuary", while in the aftermath of the 2007–2008 financial crisis, to which Li's model has been partly credited to blame, his model has been called a "recipe for disaster" in the hands of those who did not fully understand his research and misapplied it. Widespread application of simplified Gaussian copula models to financial products such as securities may have contributed to the 2007–2008 financial crisis. David Li is currently an adjunct professor at the University of Waterloo in the Statistics and Actuarial Sciences department.
In finance, model risk is the risk of loss resulting from using insufficiently accurate models to make decisions, originally and frequently in the context of valuing financial securities.
Portfolio optimization is the process of selecting an optimal portfolio, out of a set of considered portfolios, according to some objective. The objective typically maximizes factors such as expected return, and minimizes costs like financial risk, resulting in a multi-objective optimization problem. Factors being considered may range from tangible to intangible.
John A. Bollinger is an American author, financial analyst, contributor to the field of technical analysis and the developer of Bollinger Bands. His book Bollinger on Bollinger Bands (2001), has been translated into eleven languages. Since 1987, he has published the Capital Growth Letter, a newsletter which provides technical analysis of the financial markets.
Arizona Financial Text System (AZFinText) is a textual-based quantitative financial prediction system written by Robert P. Schumaker of University of Texas at Tyler and Hsinchun Chen of the University of Arizona.
Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts (quants). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management, investment management and other related finance occupations. The occupation is similar to those in industrial mathematics in other industries. The process usually consists of searching vast databases for patterns, such as correlations among liquid assets or price-movement patterns.
Perry J. Kaufman is an American systematic trader, rocket scientist, index developer, and quantitative financial theorist. He is considered a leading expert in the development of fully algorithmic trading programs.
Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling in the financial field.
Systematic trading is a way of defining trade goals, risk controls and rules that can make investment and trading decisions in a methodical way.
Riccardo Rebonato is Professor of Finance at EDHEC Business School and EDHEC-Risk Institute, Scientific Director of the EDHEC Risk Climate Impact Institute (ERCII), and author of journal articles and books on Mathematical Finance, covering derivatives pricing, risk management, asset allocation and climate change. In 2022 he was granted the PRM Quant of the Year award for 'outstanding contributions to the field of quantitative portfolio theory'. Prior to this, he was Global Head of Rates and FX Analytics at PIMCO.
A commodity trading advisor (CTA) is US financial regulatory term for an individual or organization who is retained by a fund or individual client to provide advice and services related to trading in futures contracts, commodity options and/or swaps. They are responsible for the trading within managed futures accounts. The definition of CTA may also apply to investment advisors for hedge funds and private funds including mutual funds and exchange-traded funds in certain cases. CTAs are generally regulated by the United States federal government through registration with the Commodity Futures Trading Commission (CFTC) and membership of the National Futures Association (NFA).
ESG Quant is an investment strategy, developed by Arabesque Partners, which involves quantitative equity investing while utilizing ESG information, often referred to as "non-financial" information. ESG Quant strategies are implemented within systematic trading or quantitative trading approaches that leverage a large and growing collection of commercial ESG, alternative and non-profit or academic datasets. As such, there is no human judgment or discretionary buy-sell decision making; rather, “in a pure quant model the final decision to buy or sell is made by the model” or through the “utilization of an expert system that replicates previously captured actions of real traders.”