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Ideal forms, Imperfections & being ‘on track’

Ever seen a real, perfect circle in your life? Or a perfect triangle, square, rectangle, sphere, cube, or pyramid? 

What a mildly annoying question to begin with, right? 

You’re probably thinking, “Is this guy for real? Has he never seen a tennis ball or a photo of the Earth? Hasn’t he heard of the Pyramids in Egypt? Aren’t the windows in his house rectangular? What has he smoked?”

What if I told you that there are in fact no circles, triangles, pyramids, etc. in the real world?

Before you furiously bust out your old geometry set to draw a flawless circle and prove me wrong or worse, come after me with your trusty old compass or divider, hear me out. I assure you that what I’m saying is, in fact, at least technically true. 

You see, in the world of mathematics, geometric shapes are special in a very particular way: the lines and curves that make them up are supposed to have zero width. So, whether you draw a line with chalk, brush, pencil, or scalpel, it’s not a “true” line, but merely an approximation of what a line technically is. And since you can never have a “true” line in the real world, you can’t have any perfect shapes either.

Thus, all the shapes you’ve ever seen were imitations of ideal, pristine shapes that exist only in our minds. Or maybe not even there. 

Greek philosopher Plato conjectured that every object in our world was an imperfect manifestation of an ideal “Form” that existed in a separate realm. So, every table manifested the ‘Form of Table-ness,’ every dog manifested the ‘Form of Dog-ness’, and so on.

Source

Interestingly, this millennia-old idea can serve as a useful analogy when discussing the slight imperfections in passive funds. 

Intrigued? Allow me to connect the dots.

But first, what is passive?

Passive funds are index or exchange-traded mutual funds that take a market index (such as the Nifty 50 or Sensex in India, or the American S&P 500) as a benchmark and aim to match or “track” it as closely as possible. This means that such funds don’t need analysts or expert fund managers to operate: the composition of the fund simply must be adjusted periodically whenever the target index constituents change.

In contrast, active funds seek to beat a chosen benchmark and deliver better returns than it does. Behind the scenes, they have a team of experienced portfolio managers and analysts, who study specific stocks, sectors and/ or the market as a whole and try to determine the best time to buy and sell various stocks to get the maximum returns possible, within a defined level of risk. Such funds therefore involve active interventions.

The simplicity of passive funds results in several advantages for investors. The one that should matter the most to you, is a low expense ratio (i.e., the proportion of returns charged as fees).

However, a market index is a lot like one of Plato’s abstract Forms. Just like an “ideal” triangle simply consists of a definition (e.g., three points not on the same line, but are connected), a market index can also be summed up in the form of a fixed definition (e.g., the top 50 Indian companies by market cap = Nifty 50), which is what multiple ‘imperfect’ passive funds could be trying to ‘live up to’.

But in what way are these funds imperfect? 

Well, the real world brings with it several messy complications, which we will take a closer look at later. However, the imperfections these funds have with respect to their underlying market index result in something important you must learn about.

The ignored flaw called Tracking Error

The tracking error of a passive fund refers to the deviation between the returns from a fund and the returns from its benchmark index, measured over different periods of time. Let’s first look at how it is calculated and then we’ll study the causes of such errors.

To calculate the tracking error of a fund, first calculate the difference between the fund’s rate of return and the benchmark index’s rate of return over a certain period, and then calculate the standard deviation of this difference (which today online calculators can do). The result will give you the tracking error of the fund over the given period.

Note: ‘Standard Deviation’ may sound complicated, but it’s simply a measure of how a bunch of values are distributed around their average, i.e., the extent to which they deviate from the mean.

Let’s take an example. Suppose Fund P tracks the Nifty 50 and that return rates for the previous five years were as follows:

Let’s start by calculating the difference between these rates of return for each year. We thus get the series -3%, -1%, -1%, 1%, -2%.

The difference between the returns for each year reflects the Tracking Difference. 

To get to the Tracking Error, we calculate the standard deviation of all these values, which in this case comes to 1.33%.

Note: For those machine-inclined, you can just plug a series of values into an online calculator like this one to calculate the standard deviation of the series.

Remember: Lower the tracking error of a fund, the closer it tracks its benchmark. So, if you are looking at multiple index funds or ETFs to choose from, do study their tracking errors too. This is truly what can differentiate one from the rest.

What causes tracking errors?

Tracking errors are consequences of real-world complications that prevent funds from matching their benchmarks with complete accuracy. 

I already mentioned the most important factor above: expense ratio.

While the cost of managing a passive fund is lower when compared to an active fund, certain costs are inevitable. Some managers will need to be paid a salary, transaction fees will be paid whenever securities are bought or sold, and then distribution expenses will come in. 

These expenses mean that every fund ‘leaks’ a bit every year, resulting in a lower return, which then induces a tracking error.

In principle, there are a few ways in which fund managers can reduce the impact of the expense ratio. For instance, proper dividend management and stock lending (yes: surprisingly, funds can lend the stocks they hold to raise some money) are two common ways in which funds can minimise tracking error. Sometimes, passive funds can even beat the underlying index (this is quite rare, though, and not repeatable with any consistency).

While the expense ratio makes up the lion’s share, a few other factors also have an impact on tracking error. Here are two of them: understand them & use them to impress your friends the next time you’re all hanging out and the conversation turns to money matters. 😉 

1. The need for cash reserves

All funds keep a certain amount of cash at hand to manage redemption requests from investors. Moreover, if a fund receives dividends from any of its holdings, it will have to hold on to them in the form of cash for a short period of time, until they are reinvested in the corresponding stocks. This means that a fund cannot practically invest all the money they have at any given point in time, leading to a difference in returns.

2. Changes in the benchmark index

Indexes are based on certain criteria, rather than being exact lists of stocks. For instance, Nifty 50 represents the fifty largest Indian companies that trade on the National Stock Exchange (NSE). If a company becomes large enough to replace one of the existing constituents of the Nifty 50, the composition will change. At such a juncture, funds tracking Nifty 50 would need to sell all the shares of the company that got replaced and buy shares of the new constituent. This process can take a fair amount of time, during which the fund will not be in sync with the benchmark. Moreover, buying and selling large quantities of stocks itself affects their prices, which means that funds might not always be able to carry out all trades at the optimal price.

Why pay attention to the tracking error?

An index fund’s tracking error tells you if the fund’s managers are doing a good job of tracking the underlying index. Try to seek a fund with a low tracking error, as this means that the fund’s managers know what they’re doing and that your investment is doing the job it’s supposed to. 

A high tracking error is typically a red flag and could indicate poor cash management, an absence of strict adherence to the index, or a sub-optimal execution of dividend management or stock lending strategies. 

What is the ideal tracking error? Zero, but do we live in an ideal world? 

The lower it is, the better the fund managers (and the fund) are working. Just for context, for all Nifty 50 tracking index funds in the industry today, the Tracking Error ranges between 0.03% to 0.95%*. 

*Source: AMFI India, internal, as on Aug 30, 2022

If you’ve read till here, which end of this range would you choose your fund from? 

What Shifu said

I was talking to my ‘sensei’ Arun the other day, telling him all about my ‘smart’ decision to consider index funds with lowest expense ratios. This to me made perfect sense- the differentiator in a sea of similar-themed index funds.

And that is when, like Shifu, he opened my eyes and made me realize that expense ratios are not the only factor one should use to evaluate index funds (or ETFs), and that they were already taken into account while measuring the Tracking Error.

And then he told me: Tracking error is the real secret sauce.

Mind= Blown. Well, not quite as blown as this lovely fella below, but you get the point :)

DSP offers a wide range of popular passive funds, including index funds and ETFs. We show all our Tracking Errors transparently under the ‘Portfolio’ section for each product. Go ahead and explore our diverse offerings, or drop in a comment if you want more information! 

Also, want to learn more about Tracking Error? Click here.

 

About the author

The Rational Ghost. This is one rational storyteller that provides interesting insights & stories about investing and tries to be completely unemotional about it. Lives in the shadows, doesn’t want anyone to know its real name.

Disclaimer

This note is for information purposes only. In this material DSP Investment Managers Pvt Ltd (the AMC) has used information that is publicly available and is believed to be from reliable sources. While utmost care has been exercised, the author or the AMC does not warrant the completeness or accuracy of the information and disclaims all liabilities, losses and damages arising out of the use of this information. Readers, before acting on any information herein should make their own investigation & seek appropriate professional advice. Any sector(s)/ stock(s)/ issuer(s) mentioned do not constitute any recommendation and the AMC may or may not have any future position in these. All opinions/ figures/ charts/ graphs are as on date of publishing (or as at mentioned date) and are subject to change without notice. Any logos used may be trademarks™ or registered® trademarks of their respective holders, our usage does not imply any affiliation with or endorsement by them.

Past performance may or may not be sustained in the future and should not be used as a basis for comparison with other investments.

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