scholarly journals Exploitation of Information as a Trading Characteristic: A Causality-Based Analysis of Simulated and Financial Data

Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1139
Author(s):  
Catherine Kyrtsou ◽  
Christina Mikropoulou ◽  
Angeliki Papana
Keyword(s):  
Financial Markets ◽  
Empirical Evidence ◽  
Information Flow ◽  
Diffusion Mechanism ◽  
Trading Strategies ◽  
Financial Data ◽  
Financial Products ◽  
Resulting Effect ◽  
Causality Tests ◽  
Multivariate Systems

In financial markets, information constitutes a crucial factor contributing to the evolution of the system, while the presence of heterogeneous investors ensures its flow among financial products. When nonlinear trading strategies prevail, the diffusion mechanism reacts accordingly. Under these conditions, information englobes behavioral traces of traders’ decisions and represents their actions. The resulting effect of information endogenization leads to the revision of traders’ positions and affects connectivity among assets. In an effort to investigate the computational dimensions of this effect, we first simulate multivariate systems including several scenarios of noise terms, and then we apply direct causality tests to analyze the information flow among their variables. Finally, empirical evidence is provided in real financial data.

High-Frequency Financial Econometrics

2014 ◽  
Author(s):  
Yacine Aït-Sahalia ◽  
Jean Jacod
Keyword(s):  
High Frequency ◽  
Practical Importance ◽  
Financial Econometrics ◽  
Trading Strategies ◽  
Financial Data ◽  
Jump Processes ◽  
High Frequency Trading ◽  
Microstructure Noise ◽  
Econometric Methods ◽  
Mathematical Foundations

High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. The book covers the mathematical foundations of stochastic processes, describes the primary characteristics of high-frequency financial data, and presents the asymptotic concepts that their analysis relies on. It also deals with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As the book demonstrates, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. The book approaches high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.

scholarly journals Can Economic Factors Improve Momentum Trading Strategies? The Case of Managed Futures during the COVID-19 Pandemic

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 86
Author(s):  
Renata Guobužaitė ◽  
Deimantė Teresienė
Keyword(s):  
Financial Markets ◽  
Risk Premium ◽  
Trading Strategies ◽  
Economic Factors ◽  
Momentum Strategies ◽  
New Approach ◽  
Managed Futures ◽  
Asset Classes ◽  
Momentum Trading ◽  
Insight Into

Systematic momentum trading is a prevalent risk premium strategy in different portfolios. This paper focuses on the performance of the managed futures strategy based on the momentum signal across different economic regimes, focusing on the COVID-19 pandemic period. COVID-19 had a solid but short-lived impact on financial markets, and therefore gives a unique insight into momentum strategies’ performance during such critical moments of market stress. We offer a new approach to implementing momentum strategies by adding macroeconomic variables to the model. We test a managed futures strategy’s performance with a well-diversified futures portfolio across different asset classes. The research concludes that constructing a portfolio based on academically/economically sound momentum signals with its allocation timing based on broader economic factors significantly improves managed futures strategies and adds significant diversification benefits to the investors’ portfolios.

Cross-Market Linkages of Taiwan Index Futures Contracts Listed on the Taiwan Futures Exchange and the Singapore Exchange

2007 ◽  
Vol 10 (04) ◽  
pp. 561-583 ◽  
Author(s):  
Hung-Gay Fung ◽  
Qingfeng "Wilson" Liu ◽  
Gyoungsin "Daniel" Park
Keyword(s):  
Stock Exchange ◽  
Trading Strategies ◽  
Stock Index ◽  
Futures Contracts ◽  
Stock Index Futures ◽  
Index Futures ◽  
Taiwan Stock Exchange ◽  
Market Linkages ◽  
Cointegration Tests ◽  
Causality Tests

Cointegration tests and ex ante trading rules are applied to study cross-market linkages between the Taiwan Index futures contracts listed on the Singapore Exchange and the Taiwan Stock Exchange Capitalization-weighted Stock Index futures contracts listed on the Taiwan Futures Exchange. The exchange rate-adjusted returns of the two futures series do not differ significantly in mean but in variances, and show significant mean-reverting tendencies between them. Our trading strategies are able to generate statistically significant, if economically insignificant, profits, while our Granger causality tests demonstrate that information flows primarily from the Singapore market to the Taiwan market, a result confirming other research.

scholarly journals Hedging in Financial Markets

1998 ◽  
Vol 28 (1) ◽  
pp. 5-16 ◽  
Author(s):  
Martin Baxter
Keyword(s):  
Financial Markets ◽  
Financial Products ◽  
Black Scholes ◽  
Expository Paper

AbstractThis (mostly) expository paper describes the importance of hedging to the pricing of modern financial products and how hedging may be achieved even when the traditional Black-Scholes assumptions are absent.

scholarly journals Risk Taking, Principal Agent Problems and Breakdown of Corporate Social Responsibility (CSR): How to Reestablish Safe-Assets and Capital Funding for Social Security?

Equilibrium ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. 7-30 ◽  
Author(s):  
Hans-Georg Petersen ◽  
Alexander Martin Wiegelmann
Keyword(s):  
Financial Markets ◽  
Interest Rates ◽  
Financial Market ◽  
Debt Crisis ◽  
Principal Agent ◽  
Market Structures ◽  
Financial Products ◽  
Monetary System ◽  
Capital Funding ◽  
Corporate Social

The breakdown of the financial markets in fall 2007 and the following debt crisis in the EU has produced an enormous mistrust in financial products and the monetary system. The paper describes the background of the crisis induced by functional failures in risk management and the multifold principal agent problems existing in the financial market structures. The innovated nontransparent financial products have mixed up different risk weights and puzzled, or even fooled formerly loyal customers. Contemporaneously abundant liquidity on the international financial market accompanied by easy money policies of the Fed in the US and the ECB in the euro zone have depressed the real interest rate to zero or even negative values. Desperate investors are seeking for safe-assets, but their demand remains unsatisfied. Low real interest rates and the consequently lacking compound interest effect in the same time jeopardize private as well as public insurance schemes being dependent on capital funding: the demographic crisis becomes gloomy. Therefore, the managers of the financial markets have to reestablish CSR and to divide the markets into safe-asset areas for the usual clients and “casino” areas for those who like to play with high risks. Only with transparency and risk adequate financial products can the lost commitment be regained.

Trust and Household Portfolios

2021 ◽  
pp. 78-97
Author(s):  
Diego Lubian
Keyword(s):  
Financial Markets ◽  
Empirical Evidence ◽  
Financial Literacy ◽  
Risky Assets ◽  
Financial Decisions ◽  
Portfolio Decisions ◽  
Financial Decision ◽  
Financial Portfolio ◽  
Socio Demographic Factors ◽  
The Relationship

This article provides empirical evidence on the existence and the extent of the influence of trust in financial decisions using individual data on Italian households from the Survey on Household Income and Wealth, 2010. This article studies the relationship between, trust in people, trust in banks and more detailed previously unexplored dimensions of trust, and household financial portfolio decisions. The article provides empirical evidence that trust in people and trust in banks affect both participation in financial markets, the share of risky assets and the diversification of the financial portfolio, controlling socio-demographic factors, risk aversion, and financial literacy as well. The article finds that trust is important for individuals with a lower level of education who have limited possibilities to acquire and process information on financial markets need to rely in trustworthy relationship to define their financial portfolio. Further, we present evidence that the main channel by which trust affects financial decision making and determines too little participation, a lower share of risky assets in the financial wealth and poorly diversified portfolios is trust in family and friends.

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