Get ideas for Systre from hedge funds. CTA is a hedge fund that deals with futures. Generally speaking, hedge funds are more flexible.
--CTA (Commodity trading advisor) is a financial administrative term for individuals or organizations that provide investment advice and services for trading financial futures, options and swaps to individuals or funds.
--Trade in managed futures accounts.
――The term CTA also applies to investment trusts, hedge funds including ETFs, and investment advice for private funds.
--CTAs are regulated by the US Federal Government and are required to be registered with the Commodity Futures Trading Commission (CFTC) and to be a member of the National Futures Association (NFA).
The characteristics of such a CTA are
• One of the most transparent modes of operation • Trade directly on the customer's account • Customers can keep track of operational leverage at any time • You can check for yourself whether the operation method, such as how to take a position, is the same as the published one. • Customers can directly check transaction costs, trading spreads, etc. • You can compare the published investment yield with the investment yield of your own account • High liquidity to invest in listed futures and options markets • Problems / Advantages • Small margin (cash, eligible bonds)
The history of futures trading in the United States dates back to the 1850s. • First federal regulation in the 1920s. • 1922 Grain Futures Act • 1936 Commodity Exchange Act • In 1974, the Commodity Futures Trading Commission (CFTC) was established, and CTA was recognized for the first time as a regulated object.
In the early stages, CTA was regulated only in the commodity market. Since then, the scope of transactions has expanded dramatically due to the spread of derivatives including financial products. In July 2010, the definition of CTA under the Commodity Exchange Act was extended to include swap transactions by the Dodd-Frank Wall Street Reform and Consumer Protection Act.
CTA works as an asset manager by making full use of investment strategy.
• Investment targets: Financial derivatives such as agricultural products, forest products, metals, energy futures, options, stock indexes, bonds and currencies • Market Strategy: Market-class segment strategies of trend-following, market-neutral, financial, agricultural and currency • Investment style: technical, fundamental, weighing strategy
The strategy to adopt is
• Technical trader: Invest according to chart patterns and price trends by technical analysis. In some cases, the execution of trades is automated. The source of profit is the ups and downs of the market. • Fundamental Trader: Analyze supply and demand to forecast prices. Analyze patterns such as weather, crop yield, and amount of oil drilling. • Weighing Trader: Predict price patterns using statistics and metric analysis. are categorized.
• Data vendor • Berclay Hedge (https://www.barclayhedge.com/) • Credit Suisse Hedge Fund Index (https://lab.credit-suisse.com/#/en/home) • IASG(https://www.iasg.com/en-us/) • Official document (available from IASG) • Advisory Agreement • Due Dilignece Disclosure Documents
• Trend following • Moving average, etc. • Momentum • Price change rate, etc. • Counter trends • Technical indicators • Fundamental (modeling the relationship of receipt (collecting information by telephone etc.)
Let's look at how long such a CTA survives from IASG data.
Even those who have survived various aspects will go bankrupt. However, not all those who close the fund are due to operational failures. Sometimes it's called retirement, and sometimes it's because I got another job. In addition, there may be a problem on the side that outsourced the operation. The important thing is to learn from historical data.
I wonder why? You can see how the financial market works.
Candidates for possible reasons
• Are hedge fund managers highly educated? • Can hedge funds invest in real assets? • Can you earn interest income? • Can I trade other than exchange trading?
Another type of reason
• The stock and futures markets are fairly efficient, so it is quite difficult to make a profit from short-term trading. Therefore, it is difficult to make a profit without trends • Over-the-counter market: Probably less efficient than the listed market. Therefore, it can be a source of revenue for hedge funds. So maybe the source of revenue is credit risk, or counterparty risk. This suggests that leveraged trading in the market is likely to be a prey. Moreover, it is treated as model risk and misprice risk and is not seriously discussed.
Therefore, in order to make an investment, it is necessary to return to the basics and take a stance of making rather than predicting prices. Academically, prices are supposed to be efficient and fair, but prices are not the only thing that the whole world can't say. So it doesn't make sense to try to predict what you can't predict. This is also a fact that has been handed down.
Reference: Unit root wiki
You can download the return data by registering as a user on the IASG homepage. Select Chesapeak Capital from the MANAGED FUTURES tag and select the Diversifid program. Chesapeak is [Turtles](https://www.amazon.co.jp/%E4%BC%9D%E8%AA%AC%E3%81%AE%E3%83%88%E3%83%AC%E3 % 83% BC% E3% 83% 80% E3% 83% BC% E9% 9B% 86% E5% 9B% A3-% E3% 82% BF% E3% 83% BC% E3% 83% 88% E3% 83% AB% E6% B5% 81% E6% 8A% 95% E8% B3% 87% E3% 81% AE% E9% AD% 94% E8% A1% 93-% E3% 82% AB% E3% 83 % BC% E3% 83% 86% E3% 82% A3% E3% 82% B9% E3% 83% BB% E3% 83% 95% E3% 82% A7% E3% 82% A4% E3% 82% B9 / dp / 4198624267 / ref = sr_1_3__mk_ja_JP =% E3% 82% AB% E3% 82% BF% E3% 82% AB% E3% 83% 8A & keywords =% E3% 82% BF% E3% 83% BC% E3% 83 % 88% E3% 83% AB% E3% 82% BA% E3% 81% AE% E7% A7% 98% E5% AF% 86 & qid = 1573459647 & sr = 8-3) A fund run by a famous person.
The following screen will appear
Click Export Data to download the csv file to the download file folder.
%matplotlib inline
import matplotlib.pyplot as plt
import pandas as pd
tsd=pd.read_csv('Chesapeake-Capital-Diversified-LV-_data.csv')
tsd.head()
The details of the download file are as follows.
Year Month Return Assets
0 1988 2 -2.63 1947370
1 1988 3 -6.89 2091770
2 1988 4 -10.71 248776
3 1988 5 6.93 266024
4 1988 6 32.42 1837050
Visualize. Return is a percentage, so divide by 100 and the cumulative return is calculated using the cumulative multiplication.
(tsd.iloc[:,2]/100+1).cumprod().plot()
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