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Lecture

High Frequency Trading: Secrets and Ethics

In course

FIN-419: Ethical behavior in the financial industry

We will focus on ethical dilemmas facing professionals in the financial industry. Cases based on real events will illustrate various kinds of transgressions. We will study what regulators and firms have put in place to mitigate these issues and propose som ...

Description

This lecture delves into the world of high frequency trading (HFT), exploring the use of dark pools, latency arbitrage, and the ethical implications of front-running. It discusses key figures in the industry, such as Misha Malyshev and Sergey Aleynikov, and examines the emergence of alternatives like IEX and the Long Term Stock Exchange. The lecture also analyzes the ethical considerations surrounding mathematical formulas in finance, particularly in the context of the mortgage market and the Gaussian Copula formula. It concludes by emphasizing the importance of understanding the ethical dilemmas in finance, advocating for structural reforms, and encouraging individuals to be part of the solution.

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Finance: Financial risk management

Related concepts (30)

High-frequency trading

High-frequency trading (HFT) is a type of algorithmic trading in finance characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools. While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms, co-location, and very short-term investment horizons in trading securities. HFT uses proprietary trading strategies carried out by computers to move in and out of positions in seconds or fractions of a second.

Algorithmic trading

Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutional traders. A study in 2019 showed that around 92% of trading in the Forex market was performed by trading algorithms rather than humans.

Electronic trading platform

In finance, an electronic trading platform also known as an online trading platform, is a computer software program that can be used to place orders for financial products over a network with a financial intermediary. Various financial products can be traded by the trading platform, over a communication network with a financial intermediary or directly between the participants or members of the trading platform.

Program trading

Program trading is a type of trading in securities, usually consisting of baskets of fifteen stocks or more that are executed by a computer program simultaneously based on predetermined conditions. Program trading is often used by hedge funds and other institutional investors pursuing index arbitrage or other arbitrage strategies.

Credit default swap

A credit default swap (CDS) is a financial swap agreement that the seller of the CDS will compensate the buyer in the event of a debt default (by the debtor) or other credit event. That is, the seller of the CDS insures the buyer against some reference asset defaulting. The buyer of the CDS makes a series of payments (the CDS "fee" or "spread") to the seller and, in exchange, may expect to receive a payoff if the asset defaults.

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