Chap 15 - Macro and Managed Futures Funds Flashcards
What is counterparty risk ?
Counterparty risk is the
uncertainty associated with the economic outcomes of one party to a contract due to
potential failure of the other side of the contract to fulfill its obligations, presumably
due to insolvency or illiquidity.
What is discretionary fund trading ?
Discretionary fund trading occurs when the decisions of the investment process are made according to the judgment of human traders. The trader may rely on computers for calculations and other data analysis, but in discretionary trading, the trader
must do more than simply mechanically implement the instructions of a computer
program.
What is Systematic fund trading ?
Systematic fund trading, often referred to as black-box model trading because the details are hidden in complex software, occurs when the ongoing trading decisions of the investment process are automatically generated by computer programs. Although
these computer programs are designed with human judgment, the ongoing application of the program does not involve substantial human judgment.
What is Thematic investing ?
Thematic investing is a trading strategy that is not based on a particular instrument or market; rather, it is based on secular and long-term changes in some fundamental
economic variables or relationships—for example, trends in population, the need for alternative sources of energy, or changes in a particular region of the world economy.
What is market risk ?
Market risk refers to exposure to directional moves in general market price levels.
Macro funds typically do not focus on equity markets, as equities can be highly influenced by microeconomic factors, such as company-specific events. However, macro funds can take substantial and concentrated risks in currency, commodity, and
sovereign debt markets, especially when it is believed that changes in governmental policies will lead to large moves in the underlying markets.
True.
Example of China’s economy and society expansion needing a lot of ressources (commodities) to build the cities so a hedge fund manager with a macro strategy can place his trades based on information like this.
What is event risk ?
Event risk refers to sudden and unexpected changes in market conditions resulting from a specific event (e.g., Lehman Brothers bankruptcy). Macro funds attempt
to benefit from particular events.
What is leverage ?
Leverage refers to the use of financing to acquire and maintain market positions larger than the assets under management (AUM) of the fund. Leverage is typically established through borrowing or derivatives positions and poses risks. Funds with
leverage may be forced to deploy additional capital if they experience losses, and if they are unable to do so, they may be forced to liquidate positions at the least opportune time.
What does it mean managed futures ?
The term managed futures refers to the active trading of futures and forward contracts on physical commodities, financial assets, and exchange rates.
However, cash positions can have numerous disadvantages, such as storage costs, financing costs, higher transaction costs, inconvenience, and restrictions on short selling. Market participants with short-term trading horizons often prefer futures
and forward contracts. Futures and forward contracts usually offer lower transaction costs, higher liquidity, more observable pricing, and more flexibility to short sell.
Some advantages of futures contracts.
A managed account (or separately managed account) is created when money is placed directly with a CTA in an individual account rather than being pooled with other investors. When large enough to be cost-effective, managed accounts offer
numerous advantages over pooled arrangements. These separate accounts have the advantage of representing narrowly defined and specific investment objectives tailored to the investor’s preferences.
What is systematic trading ?
Systematic trading is usually quantitative in nature and often referred to as computerbased, model-based, or black-box trading. Systematic trading in this context refers
to the automation of the investment process, not to systematic risk. Systematic trading models apply a fixed set of trading rules in determining when to enter and exit
positions. Deviation from the system’s rules is generally not permitted.
What is slippage ?
Slippage is the unfavorable difference between assumed entry and exit prices
and the entry and exit prices experienced in practice. Thus, an analyst observing a long history of daily closing prices should assume that an actual trading strategy is likely to generate less favorable price executions due to the tendency of buy orders to push prices up, or be executed at an offer price, and of sell orders to push prices down, or be executed at a bid price.
what are three useful questions to ask when evaluating an individual trading
strategy ?
- What is the trading system, and how was it developed?
- Why and when does the trading system work, and why and when might it not work?
- How is the trading system implemented?
The key to systematic trading systems is to differentiate spurious results from
results that will persist. In other words, at what point should a trading system be abandoned or modified if the system worked very well in
the past but has generated poor results recently?
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What is the validation of a trading rule ?
Validation of a trading rule refers
to the use of new data or new methodologies to test a trading rule developed on
another set of data or with another methodology. For example, a trading rule developed analyzing data during five calendar years should be tested first in subperiods
of those five years to see if the results are robust across data sets and sub-intervals.
What is robustness ?
Robustness refers to the reliability with which a model or system developed for a
particular application or with a particular data set can be successfully extended into
other applications or data sets.
What is out-of-sample data ?
Out-of-sample data are observations that were not directly used to develop a trading rule or even indirectly used as a basis for knowledge in the research. For example, the trading rule should be validated on the most recent data, which, of course, should not have been used explicitly or implicitly in the model’s development
What is in-sample data ?
In-sample data are those observations directly used
in the backtesting process.
Out-of-sample data should be used to test the profitability of a
trading strategy beyond the period covered by the backtest. The goal is to avoid data
dredging and to ensure that a trading rule generates persistent performance.
Further, it is vital to know how many trading rules were tested, how many were
subjected to validation, and how many were rejected in the validation process.
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