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130/30 Long –short strategy 1. What is 130/30 long-short investing? A 130-30 fund is a type of collective investment vehicle, often a type of specialty mutual fund, but which allows the fund manager simultaneously to hold both long and short positions on different equities in the fund. Traditionally, mutual funds were long-only investments. 130-30 funds are a fast growing segment of the financial industry; they should be available both as traditional mutual funds, and as exchange-traded funds (ETFs). While this type of investment has existed for a while in the hedge fund industry, its availability for retail investors is relatively new. The 130-30 funds work by investing, say, £100 in a basket of stocks. They then short £30 in stocks that they believe to be overvalued. Proceeds from that short sale are then used to purchase an additional £30 in stocks thought to be undervalued. The name reflects the fact that the manager ends up with £130 invested in traditional long positions and £30 invested short. One might wonder why 130/30 instead of 120/20, or 160/60? The reason that most of these funds hover around 130/30 is that below that amount of leverage, it looks like the returns aren't yet optimal, but that above that amount of leverage, the risk magnifies. To put it simply, in

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130/30 Long short strategy

130/30 Long short strategy1. What is 130/30 long-short investing?

A 130-30 fund is a type of collective investment vehicle, often a type of specialty mutual fund, but which allows the fund manager simultaneously to hold both long and short positions on different equities in the fund. Traditionally, mutual funds were long-only investments. 130-30 funds are a fast growing segment of the financial industry; they should be available both as traditional mutual funds, and as exchange-traded funds (ETFs). While this type of investment has existed for a while in the hedge fund industry, its availability for retail investors is relatively new. The 130-30 funds work by investing, say, 100 in a basket of stocks. They then short 30 in stocks that they believe to be overvalued. Proceeds from that short sale are then used to purchase an additional 30 in stocks thought to be undervalued. The name reflects the fact that the manager ends up with 130 invested in traditional long positions and 30 invested short.

One might wonder why 130/30 instead of 120/20, or 160/60? The reason that most of these funds hover around 130/30 is that below that amount of leverage, it looks like the returns aren't yet optimal, but that above that amount of leverage, the risk magnifies. To put it simply, in risk/reward terms, a 130/30 mix seems to be the optimal mix.2. Who is running 130/30 funds?

To date, 130/30 investing is most prevalent in the institutional world, specifically in separately managed accounts.3. Are 130/30 funds popular now?

- Investors want more alpha

- Active risk has declined

- Less constrained strategies are becoming standard of investing

- However, sice they were emplyed by quantitiative funds that suffered during market downturn, popularity of these strategies has decreased. JP Morgan observed a pick up in iverstors interest in this strategy in later part of 2010.

4. What is the level of beta of 130/30 funds?

130/30 portfolios hold positions that are different than the benchmark (undervalued stocks are overweighted and overvalued stocks are underweighted) and they target a beta of 1.0 relative to their benchmark. Benchmarks used: S&P 500 130/30 Strategy index, S&P/TSX 60 130/30 Strategy Index. 5. Alpha vs tracking error of long only and 130/30 fundsFor both strategies, predicted alpha goes up as target risk goes up. Taking larger active weights leads to higher target tracking error and higher predicted alpha. Without any constraints or transaction costs, the increase in active weights and the corresponding increase in predicted alpha would be proportional to the increase in risk (e.g., double the risk, double the active weights, and double the alpha). However, with a constraint on shorting, the relation between target risk, active weights, and predicted alpha is no longer proportional. Consequently, additional increases in risk lead to progressively smaller and smaller improvements in predicted alpha (dashed line on the graph below). Eventually, the improvement in predicted alpha is so small relative to the increase in target tracking error that a further boost in risk does not make sense. By relaxing the no-shorting constraint, the predicted alpha remains attractive even at higher levels of risk.

alpha

Trackig error

130/30

Long-only