ArticleslgStudy

science

Risk parity

Risk parity is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Risk parity rather than just read about it. In short: Risk parity (or risk premia parity) is an approach to investment management which focuses on allocation of risk, usually defined as volatility, rather than allocation of capital. The risk parity approach asserts that when asset allocations are adjusted (leveraged or deleveraged) to the same risk level, the risk parity portfolio can achieve a higher Sharpe ratio and can be more resistant to market downturns than the…

Risk parity — main illustration
Risk parity — illustration

Key takeaways

  • Risk parity belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Risk parity to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Risk parity from memory before moving on to harder problems.

Reference excerpt

Risk parity (or risk premia parity) is an approach to investment management which focuses on allocation of risk, usually defined as volatility, rather than allocation of capital. The risk parity approach asserts that when asset allocations are adjusted (leveraged or deleveraged) to the same risk level, the risk parity portfolio can achieve a higher Sharpe ratio and can be more resistant to market downturns than the traditional portfolio. Risk parity is vulnerable to significant shifts in correlation regimes, such as observed in Q1 2020, which led to the significant underperformance of risk-parity funds in the COVID-19 sell-off. Roughly speaking, the approach of building a risk parity portfolio is similar to creating a minimum-variance portfolio subject to the constraint that each asset (or asset class, such as bonds, stocks, real estate, etc.) contributes equally to the portfolio's overall volatility. Some of its theoretical components were developed in the 1950s and 1960s but the first risk parity fund, called the All Weather fund, was pioneered in 1996. In recent years many investment companies have begun offering risk parity funds to their clients. The term, risk parity, came into use in 2005, coined by Edward Qian, of PanAgora Asset Management, and was then adopted by the asset management industry. Risk parity can be seen as either a passive or active management strategy. Interest in the risk parity approach has increased since the 2008 financial crisis as the risk parity approach fared better than traditionally constructed portfolios, as well as many hedge funds. Some portfolio managers have expressed skepticism about the practical application of the concept and its effectiveness in all types of market conditions but others point to its performance during the 2008 financial crisis as an indication of its potential success.

Description

Risk parity is a conceptual approach to investing

which attempts to provide a lower risk and lower fee alternative to the "traditional" portfolio allocation of 60% in shares and 40% bonds which carries 90% of its risk in the stock portion of the portfolio (see illustration). The risk parity approach attempts to equalize risk by allocating funds to a wider range of categories such as stocks, government bonds, credit-related securities and inflation hedges (including real assets, commodities, real estate and inflation-protected bonds), while maximizing gains through financial leveraging. According to Bob Prince, CIO at Bridgewater Associates, the defining parameters of a traditional risk parity portfolio are uncorrelated assets, low equity risk, and passive management. Some scholars contend that a risk parity portfolio requires strong management and continuous oversight to reduce the potential for negative consequences as a result of leverage and allocation building in the form of buying and selling of assets to keep dollar holdings at predetermined and equalized risk levels. For example, if the price of a security goes up or down and risk levels remain the same, the risk parity portfolio will be adjusted to keep its dollar exposure constant. On the other hand, some consider risk parity to be a passive approach, because it does not require the portfolio manager to buy or sell securities on the basis of judgments about future market behavior. The principles of risk parity may be applied differently by different financial managers, as they have different methods for categorizing assets into classes, different definitions of risk, different ways of allocating risk within asset classes, different methods for forecasting future risk and different ways of implementing exposure to risk. However, many risk parity funds evolve away from their original intentions, including passive management. The extent to which a risk parity portfolio is managed, is often the distinguishing characteristic between the various kinds of risk parity funds available today.

Equally-weighted risk contributions portfolios The best known version of risk parity is the equally-weighted risk contributions portfolio method. Equally-weighted risk contributions is not about "having the same volatility", it is about having each asset contributing in the same way to the portfolio overall volatility. For this we will have to define the contribution of each asset to the portfolio risk. Consider a portfolio of N {\displaystyle N} assets: x 1 {\displaystyle x_{1}} , ..., x N {\displaystyle x_{N}} where the weight of the asset x i {\displaystyle x_{i}} is w i {\displaystyle w_{i}} . The w i {\displaystyle w_{i}} form the allocation vector w {\displaystyle w} . Let us further denote the covariance matrix of the assets X {\displaystyle X} = ( x 1 {\displaystyle (x_{1}} , ..., x N ) {\displaystyle x_{N})} by Σ {\displaystyle \Sigma } . The volatility of the portfolio is defined as the std of the random variable w t {\displaystyle w^{t}}

X {\displaystyle X} which is:

σ ( w ) = w ′ Σ w {\displaystyle \sigma (w)={\sqrt {w'\Sigma w}}}

Since σ ( w ) {\displaystyle \sigma (w)} is homogeneous of degree 1 in w {\displaystyle w} , it follows from Euler's theorem for homogeneous functions that:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Risk parity

Start with the simplest possible case. Write down what Risk parity claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Risk parity before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Risk parity ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Risk parity

In research
Risk parity appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Risk parity in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Risk parity is common in secondary-school and first-year university syllabi. It links to neighbouring topics Actuarial science, Financial markets, Investment, so understanding it makes those chapters shorter.
In everyday life
Look for Risk parity outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Risk parity in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Risk parity means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Risk parity out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Risk parity in simple terms?

Risk parity (or risk premia parity) is an approach to investment management which focuses on allocation of risk, usually defined as volatility, rather than allocation of capital. The risk parity approach asserts that when asset allocations are adjusted (leveraged or deleveraged) to the same risk le…

Why does Risk parity matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Risk parity?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Risk parity.

Tags

  • Actuarial science
  • Financial markets
  • Investment
  • Portfolio theories

Keep exploring