
Strategic Risk Management
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Strategic Risk Management presents an innovative approach to portfolio design. Often the risk management function is a series of tripwires that are activated after the portfolio is already in trouble. Strategic Risk Management presents a framework that seeks to integrate the initial portfolio design and the risk management function. Much of the book's research was conducted pre-COVID-19; the market selloff in March 2020 offers a unique out of sample experiment that provides evidence supportive of the approach.
A crucial ingredient in this integrative design is to understand the performance of various investment strategies in stressful market conditions. The book begins by measuring the performance of various assets and strategies that purport to provide hedging abilities: such as put options and long gold positions. While put options are an extremely reliable, few would want to give up 700 basis points a year to buy this type of insurance. And even if gold does not have the type of drag that long options strategies do, gold turns out to be an unreliable hedge.
We focus on two investments that historically offer impressive protection in adverse events: trend following strategies and quality-based equity strategies. We show that performance of trend following strategies is naturally linked to the payoff of a long call and long put position. This property is particularly useful in mitigating portfolio drawdowns.
The book also considers operational strategies such as portfolio rebalancing. Most investors routinely rebalance their portfolios, for example, to a 60/40 equity/bond mix. However, few investors realize that a mechanical rebalancing strategy increases drawdowns and portfolio risk. The reason is simple. In extended equity sell offs, the rebalancing strategy is to buy, which increases drawdowns. Strategic Risk Management offers an intuitive solution. If the trend following signal suggests that the drawdown will continue, delay the rebalancing. We call this strategic rebalancing.
The book contains various other insights, including analyzing the impact of a portfolio strategy that targets a certain risk level. This technique reduces allocations to the riskiest assets when volatility spikes. Given that surges in volatility are usually associated with plunging markets, this strategy also reduces drawdowns.
The reader of this book will:
* Learn how to incorporate risk management into the core portfolio design, rather than treating it as an afterthought;
* Gain a deeper understanding of concepts such as portfolio rebalancing;
* Acquire tools to achieve a more balanced return stream through volatility targeting of higher-risk asset classes;
* Obtain an overview of various defensive strategies, and learn which strategies offer the most reliable and affordable protection;
* Be equipped with a set of rules that allows for the early detection of strategies or managers that have faded.
Strategic Risk Management is a thought-provoking resource for developing your portfolio design and risk management skills.
More details
Other editions
Additional editions

Persons
SANDY RATTRAY is Chief Investment Officer of Man Group and a member of the Man Group Executive Committee. He previously spent fifteen years at Goldman Sachs where he was Managing Director in charge of the Fundamental Strategy Group.
OTTO VAN HEMERT is the Director of Core Strategies at Man AHL and a member of the Man AHL Management Committee. He has twelve years of experience running systematic trading strategies. Before that he was on the Finance faculty of NYU Stern.
Content
Preface by Sandy Rattray
Chapter 1: Seeking Crisis Alpha
Chapter 2: Can Portfolios Be Crisis Proofed?
Chapter 3: Risk Management via Volatility Targeting
Chapter 4: Strategic Rebalancing
Chapter 5: Drawdown Control
Chapter 6: Man versus Machine
Chapter 7: Out-of-Sample Evidence from the COVID-19 Equity Sellof
Notes
Index
CHAPTER 1
Seeking Crisis Alpha
INTRODUCTION
The idea of risk management is to provide some protection during adverse events. However, the cost of that protection must be balanced against the benefit. For example, in a strategy that uses costly long put options to eliminate the downside, the portfolio's return should not be greater than the risk-free rate. By contrast, we focus on the idea of crisis alpha, which uses dynamic methods that lower risk and also preserve excess returns. In this sense, they provide alpha when it is most needed-during crisis periods.1
Trend following is one technique that works especially well with a crisis-alpha strategy. Theoretically, trend-following strategies sell in market drawdowns (mimicking a dynamic replication of a long put option) and buy in rising markets (mimicking a dynamic replication of a long call option). This resembles a long straddle position and induces positive convexity. While it is possible to purchase the long straddle directly, that is expensive. Implementing a trend-following strategy is not expensive, but it is not as reliable as taking option-based insurance.
Much of our book focuses on these costs and benefits. We assess the after-cost performance of different strategies (including option-based strategies) in various risk-on events.
Our starting point is a deep dive into time-series momentum (trend-following) strategies in bonds, commodities, currencies, and equity indices between 1960 and 2015. Over the last few years, institutional investors have turned to futures trend-following strategies to provide "crisis alpha."2 Our analysis shows that these momentum strategies performed consistently both before and after 1985, periods which were marked by strong bear and bull markets in bonds, respectively.
We document a number of important risk properties. First, returns are positively skewed, which is consistent with the theoretical link between momentum strategies and a long option straddle strategy. Second, performance was particularly strong in the worst equity and bond market environments, giving credence to the claim that trend following can provide equity and bond crisis alpha. Putting restrictions on the strategy to prevent it being long equities or long bonds has the potential to further enhance the crisis alpha, but reduces the average return. Finally, we examine how performance has varied across momentum strategies based on returns with different lags and applied to different asset classes.
Backdrop
Government bonds have experienced an extended bull market since 1985. This is illustrated in the left panel of Figure 1.1, where we plot the cumulative excess return of U.S. 10-year Treasuries and the S&P 500 index, relative to the U.S. T-bill rate. This shows a steady increase in cumulative bond returns since 1985. The right panel of Figure 1.1 plots the drawdown level, which rarely exceeded 10 percent for bonds in the post-1985 period. A trend-following strategy holding a (predominantly) long bonds position would have benefited from the consistent upward direction after 1985.
FIGURE 1.1 Cumulative excess returns and drawdowns in the stock and bond markets (1960-2015). The left panel shows the cumulative return of stocks (S&P 500 index) and bonds (U.S. 10-year Treasury), in excess of the U.S. T-Bill rate. The right panel shows the drawdown relative to the highest cumulative return achieved to date for both stocks and bonds. The data period is January 1960 to December 2015 and the dashed, vertical line separates the pre- and post-1985 period.
The strong bond performance was driven by significant interest-rate compression. U.S. yields fell from almost 16 percent in the early 1980s, to below 2 percent in March 2016. While in some countries yields have turned slightly negative, most economists believe yields cannot become very negative, and as such we are unlikely to see a similarly large yield compression in future decades. In light of this, it is natural to ask whether, in the absence of a bond market tailwind, trend-following strategies can maintain performance and protect against bond-market stress similar to that seen in the 1960s, 1970s, and early 1980s.
Outline
In this chapter we seek to shed light on three questions by studying trend-following strategies from 1960 onwards:
- Should we expect futures trend following to be profitable in an environment where government bond yields rise?
- Are the protective characteristics of trend following confined to equities, or do they work for government bonds as well?
- Is it possible to improve the protection characteristics of a futures momentum strategy by removing the ability to be long equities?
Importantly, there is a stark difference between the pre-1985 period and the post-1985 period. Between 1960 and 1985, bonds experienced negative excess returns on average while stock markets provided modest positive average excess returns and quite frequent drawdowns (Figure 1.1).
In the first section, we discuss the available data to ground our understanding of the markets between 1960 and 1985. The second section defines a straightforward momentum strategy. Extending our analysis back to 1960 requires us to use monthly data and augment the available history of futures and forward returns with proxies based on cash returns, financed at the local short-term rate.
In the next section, we show that strategies based on the past four months' returns (lag 1 to 4) experience consistently strong performance, as do strategies based on returns of almost a full year ago (lags 9 to 11). However, strategies based on returns at the intermediate horizon (lags 5 to 8) underperform consistently over time and across asset classes. Next, we form a momentum strategy that places weights on historical lagged returns, such that it best matches the representative BTOP50 managed futures index (we label our strategy momCTA) and find that this replicating strategy allocates almost all weight on lags 1 to 4, thus largely ignoring the predictability of lags 9 to 11.
In the two sections that follow, we show that momCTA inherits two important risk characteristics that are particularly associated with momentum strategies based on recent returns. In the section about skewness, we show that momCTA has positively skewed returns, in particular when returns are evaluated over multiple months. (We specifically consider 3- and 12-month evaluation windows.) We argue this result is intuitive and related to the strategy's property of adding to winners and cutting losers, which is similar to the dynamic replication of a long option straddle position.
Then, in the section on crisis alpha, we show that momCTA performed particularly well in the worst equity and bond market environments, giving empirical support to a claim that trend-following can provide crisis alpha for both equities and bonds. Performance was strong in not only the worst but also the best equity and bond market environments, revealing a well-known equity market smile and a lesser-known, but even more pronounced bond market smile.
We find that the equity and bond crisis alpha was further enhanced when we restricted the equity and bond position to be non-positive. However, this comes at the cost of lower general performance and unfavorable cross-market effects. Indeed we find that a non-positive equity (bond) restriction worsened the performance during bond (equity) market declines.
DATA
Many other papers that have looked at trend-following strategies start their analysis well after 1960. Moskowitz, Ooi, and Pedersen (2012), for example, evaluate trend-following strategies from 1985 onwards "to ensure that a comprehensive set of instruments have data." We believe that starting in 1960 strikes the right balance for our research question; however, using a sample period that starts in 1960 presents certain challenges. Starting earlier than 1960 is problematic for commodities because one either has to omit the asset class before 1960; rely on imperfect and only intermittently available data; or rely on spot returns, thus ignoring the roll yield component of return.3 Starting in 1960 provides an opportunity to study the worst bond market drawdown the United States experienced since at least 1900, as the 10-year yield rose from below 5 percent in 1960 to a peak of almost 16 percent in the early 1980s.
In Table 1.1, we provide an overview of the securities used in our analysis, and report the start date and some summary statistics. While we start the evaluation of momentum strategies in 1960, our data start as early as 1950 to allow for a so-called warm-up period for obtaining the volatility and correlation risk estimates needed in the strategy construction. For securities with data starting after 1960 only, we maintain a warm-up period of one year so that they are included in the momentum strategy return one year after the reported data start date.
TABLE 1.1 Data. This table provides the start date for the securities used in this chapter, as well as some descriptive statistic for monthly security returns. The euro (EUR/USD) is augmented with the deutsche mark prior to the January 1999 introduction of the euro.
Cash start date Futures/forwards start date Mean (annual) Standard deviation...System requirements
File format: ePUB
Copy protection: Adobe-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Install the free reader Adobe Digital Editions prior to download (see eBook Help).
- Tablet/smartphone (Android; iOS): Install the free app Adobe Digital Editions or the app PocketBook before downloading (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePub works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Adobe-DRM, a „hard” copy protection. If the necessary requirements are not met, unfortunately you will not be able to open the eBook. You will therefore need to prepare your reading hardware before downloading.
Please note: We strongly recommend that you authorise using your personal Adobe ID after installation of any reading software.
For more information, see our ebook Help page.