New related paper to #6 & #7 – Volatility Effect in Stocks and #20 – Volatility Risk Premium Effect

#6 – Volatility Effect in Stocks – Long-Short Version
#7 – Volatility Effect in Stocks – Long-Only Version
#20 – Volatility Risk Premium Effect

Authors: Ilmanen

Title: Do Financial Markets Reward Buying or Selling Insurance and Lottery Tickets?

Link: https://www.aqr.com/~/media/files/papers/faj-do-financial-markets-reward-buying-or-selling-insurance-and-lottery-tickets.pdf

Abstract:

Selling financial investments with insurance or lottery characteristics should earn positive longrun premiums if investors like positive skewness enough to overpay for these characteristics. The empirical evidence is unambiguous: Selling insurance and selling lottery tickets have delivered positive long-run rewards in a wide range of investment contexts. Conversely, buying financial catastrophe insurance and holding speculative lottery-like investments have delivered poor longrun rewards. Thus, bearing small risks is often well rewarded, bearing large risks not.

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New related paper to #237 – Dispersion Trading

#237 – Dispersion Trading

Authors: Deng

Title: Volatility Dispersion Trading

Link: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1156620

Abstract:

This papers studies an options trading strategy known as dispersion strategy to investigate the apparent risk premium for bearing correlation risk in the options market. Previous studies have attributed the profits to dispersion trading to the correlation risk premium embedded in index options. The natural alternative hypothesis argues that the profitability results from option market inefficiency. Institutional changes in the options market in late 1999 and 2000 provide a natural experiment to distinguish between these hypotheses. This provides evidence supporting the market inefficiency hypothesis and against the risk-based hypothesis since a fundamental market risk premium should not change as the market structure changes.

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Quantpedia Update – 18th May 2015

Two new strategies have been added:

#264 – Dividend Risk Premium Strategy
#265 – Days to Cover Strategy

Two new related research paper have been included into existing strategy reviews. And four additional related research paper have been included into existing free strategy reviews during last 2 weeks.

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New related paper to #5 – FX Carry Trade

#5 – FX Carry Trade

Authors: Nunes, Piloiu

Title: Uncovered Interest Rate Parity: A Relation to Global Trade Risk

Link: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2595165

Abstract:

The paper gives evidence of a novel pricing factor for the cross-section of carry trade returns based on trade relations between countries. In particular, we apply network theory on countries' bilateral trade to construct a measure for countries' exposure to a global trade risk. A higher level of exposure implies that the economic activity in one country is highly dependent on the economic activity of its trade partners and on aggregate trade flow. We test the following hypothesis for carry trade strategies: high interest rate currencies are more exposed to global trade risk than low interest rates ones. We find empirically that low interest rate currencies are seen by investors as a hedge against global trade risk while high interest rate currencies deliver low returns when global trade risk is high, being negatively related to the global trade risk factor. These results provide evidence on the underlying macroeconomic sources of systematic risk in FX markets while accounting as well for other previously documented risk factors, such as the market factor and the volatility and liquidity risks.

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New related paper to #3 – Sector Momentum – Rotational System

#3 – Sector Momentum – Rotational System

Authors: Du Plessis, Hallerbach

Title: Volatility Weighting Applied to Momentum Strategies

Link: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2599635

Abstract:

We consider two forms of volatility weighting (own volatility and underlying volatility) applied to cross-sectional and time-series momentum strategies. We present some simple theoretical results for the Sharpe ratios of weighted strategies and show empirical results for momentum strategies applied to US industry portfolios. We find that both the timing effect and the stabilizing effect of volatility weighting are relevant. We also introduce a dispersion weighting scheme which treats cross-sectional dispersion as (partially) forecastable volatility. Although dispersion weighting improves the Sharpe ratio, it seems to be less effective than volatility weighting.

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New related paper to #12 – Pairs Trading with Stocks

#12 – Pairs Trading with Stocks

Authors: Almeida

Title: Improving Pairs Trading

Link: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2432061

Abstract:

This paper tests the Pairs Trading strategy as proposed by Gatev, Goetzmann and Rouwenhorts (2006). It investigates if the profitability of pairs opening after an above average volume day in one of the assets are distinct in returns characteristics and if the introduction of a limit on the days the pair is open can improve the strategy returns. Results suggest that indeed pairs opening after a single sided shock are less profitable and that a limitation on the numbers of days a pair is open can significantly improve the profitability by as much as 30 basis points per month.

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New related paper to #20 – Volatility Risk Premium Effect

#20 – Volatility Risk Premium Effect

Authors: Israelov, Nielsen

Title: Still Not Cheap: Portfolio Protection in Calm Markets

Link: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2579232

Abstract:

Recent equity volatility is near all-time lows. Option prices are also low. Many analysts suggest this represents a good opportunity to purchase put options for portfolio insurance. It is well-known that portfolio insurance is expensive on average, but what about in calm markets? History suggests it still is. We investigate the relationship between option richness and volatility across ten global equity indices. Option prices may be low, but their expected values tend to be even lower.

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Quantpedia Update – 29th April 2015

One new strategy has been added:

#263 – Economic Momentum in Currencies

Five new related research paper have been included into existing strategy reviews. And two additional related research paper have been included into existing free strategy reviews during last 2 weeks.

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New related paper to #21 – Momentum Effect in Commodities and #22 – Term Structure Effect in Commodities

#21 – Momentum Effect in Commodities
#22 – Term Structure Effect in Commodities

Authors: Bakshi, Bakshi, Rossi

Title: Understanding the Sources of Risk Underlying the Cross-Section of Commodity Returns

Link: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2589057

Abstract:

We show that a model featuring an average commodity factor, a carry factor, and a momentum factor is capable of describing the cross-sectional variation of commodity returns. More parsimonious one- and two-factor models that feature only the average and/or carry factors are rejected. To provide an economic interpretation, we show that innovations in equity volatility can price portfolios formed on carry with a negative risk premium, while innovations in our measure of speculative activity can price portfolios formed on momentum with a positive risk premium. Furthermore, we characterize the relation of the factors with the investment opportunity set.

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Quantpedia’s Master lists – Historical Data and Backtesting Software

Dear visitors,

We have launched a new subpage on Quantpedia.com which will contain master lists of tools for quantitative traders. We have started with a comprehensive lists of backtesting software and historical data sources:

http://\/\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net/Links/Backtesters
http://\/\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net/Links/HistoricalData

We have a good responses on them so far therefore I hope you will find them helpful too. Let us know if you are missing some source in our list, we will add it there.

The QUANTPEDIA Team

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