The Nairobi Stock Exchange sells a broad array of data and generates close to US$100,000 a year from this activity which accounts for approximately 2.5% of total revenues. There are 7 authorised data vendors whose deposits held at the NSE total about US$8,500. These data vendors re-package the NSE data into products and services that theoretically “add-value” to the users thereof. Data vendors in most cases re-charge for this data or package it in a way that they are able to generate revenues therefrom eg portal sites, that generate advertising revenues by virtue of their website traffic.
For the larger media firms such as Thompson Reuters and Bloomberg the value add to investors is significant as the data is bundled into global databases and other products.
There is a bigger question here for the NSE and that’s whether the foregone benefits of wider information dissemination exceed US$100,000 of revenue every year? “A bird in the hand is worth two in the bush”? At the moment it would seem that its easier to justify the 100-grand-in-the-hand. Is the NSE rent seeking from data that it should not be?
The products below show what you can buy – you can buy this information from the NSE using your cell phone! Which IS progressive, but is it really necessary? As a shareholder or an active investor, is it acceptable for me to pay for basic investment data? How many people does NSE have to sell to, to add to the “bottom line” and is the “bottom line” becoming more and more important for the NSE now that it is de-mutualising? Are the long term interests of Kenya’s capital markets being prejudiced by virtue of the fact that the NSE is a monopoly on investment data and is selling it?
An alternative view is that this investment data should only be consumed by those that understand it and can afford it and through registered investment professionals i.e brokers. Yes, there are the ignoramus investors out there being misguided all the time as a result of their ignorance, but that’s the nature of the industry (look at World markets and they are supposed to be filled with educated people). From a regulators perspective, one could argue that no-one really understands the markets so who cares? My retort to this response is consider the power of 4 million ignoramuses (those with access to internet in Kenya and with shares but no knowledge) being misguided by their ignorance and able to express this ignorance on a global platform 24/7. Phew!! An example? IPOs whose share prices rocket to stratospheric levels and then collapse: no shortage of evidence of this in Kenya.
Is this sort of ignoramus behaviour acceptable to the regulators whose core obligation is to protect investors? ”An informed investor is a protected investor” I believe.
Whether African regulators like it or not, the growth of social media is changing the landscape for everyone. Social media is full of ignoramuses. In the absence of wide and engaging education efforts by the regulators (now) there is significant scope for the ignoramus market to completely dominate (over-positively or over-negatively) the general public’s perception. In that situation the regulator can’t do anything its too late. So they have to be pre-emptive. One could argue that the listed companies should bear some responsibility for educating investors and enabling them to make informed investment decisions – but that’s a different conversation.
My view is this:-
- the NSE should review the products below and make free the ones that are not well subscribed. Charge the top data vendors for the value add data / systems / feeds. Don’t charge for anything else (the basic products) but make it freely available to anyone who wants to sign up.
- engage the market as widely as possible with an online shareholder education course (linked to social media) – charge US$20 for it (enable payment by M-Pesa) and if you get 3,000 people signing up then that’s US$60,000 of the US$100,000 that you might have forgone above. Investors become more “informed” and “protected”. These education initiatives deal specifically with irrational exuberance in IPO situations and ignoramuses are learning things rather than buying data.
There’s a degree of intuition needed here in deciding the way forward for the NSE and I don’t have the stats to be able to say much more. The fact is that they have been selling data now for some time and know what the market does and doesn’t want. They need to reflect on this and amend their strategy to achieve both objectives.
Why is this relevant?
Well with the World melting at the moment, with Africa being seen as the last investment frontier, and with foreign investment at risk, there should not be any barriers to getting hold of timely information. The bigger picture is that the way the web is developing, all of this information is going to be available for free anyway in the future to almost everyone, by phone,iPad, PC, whatever and its only the likes of Thompson Reuters and Bloombergs that can justify the need to pay to re-package packaged real time data on account of their professional investor bases.
All of this debate is all so terribly over-intellectual isn’t it?
BUT, ask yourself whether 10 years ago you would have predicted that so much information and functionality could be available on the web FOR FREE. So really at the end of the day the future for African capital markets is whether the regulators that run them have a vision, a long term vision that embraces how the web is changing the world. A vision that does not involve US$100,000 now, vs benefits that are intangible and in the future and for the greater good. Like investor education. Mmmmm….
| Daily FIX Log File (flf)Contains all the day’s trading activity (both equity and debt) in electronic form. | Kshs.50000(monthly subscription)+/- US$6,480 p.a. | ![]() |
| End of Day Listed Equity Securities Data (eded)Listed equity data, which is published no sooner than sixty (60) minutes after the close of trade on each trading day.Available in excel format | Kshs.7200(monthly subscription)+/- US$936 p.a. | ![]() |
| Historical daily Price lists for bond data (hdpl-bond-market)Historical daily market reports for equity and debt data. Available in excel format.Data Available From 24th Feb 2011 to 13th Oct 2011 | Kshs.30(per day’s price list)+/-US$71 p.a. | ![]() |
| End of Day Listed Debt Securities Data (eddd)Listed debt data, which is published no sooner than sixty (60) minutes after the close of trade on each trading day. Available in excel format | Kshs.7200(monthly subscription)+/- US$940 p.a. | ![]() |
| Historical daily Price lists for equity data (hdpl-equity-market)Historical daily market reports for equity and debt data. Available in excel format.Data Available From 4th Jan 2010 to 13th Oct 2011 | Kshs.30(per day’s price list)+/- US$71 p.a. | ![]() |
| Historical weekly Price lists for equity data – weekly market statistics (hwpl-equity-market)Historical weekly market reports for equity and debt data. Available in excel formatData Available From 4th Jan 2010 to 16th Sep 2011 | Kshs.100(per weekly report)+/- US$56 p.a. | ![]() |
| Historical weekly Price lists for debt data – weekly bond statistics (hwpl-bond-market)Historical weekly market reports for equity and debt data. Available in excel formatData Available From 4th Jan 2010 to 2nd Sep 2011 | Kshs.100(Per weekly report)+/- US$56 p.a. | ![]() |
| Historical monthly trading equity volumes (hmev)Historical trading volumes per month in excel formatData Available From 2010 to 2010 | Kshs.1000(cost per annum)+/- US$11 p.a. | ![]() |
| Historical monthly trading equity deals (hmed)Historical equity traded deals per month in excel formatCurrently No Files | Kshs.1000(cost per annum)+/- US$11 p.a. | ![]() |
| Historical monthly trading equity turnovers (hmet)Historical equity traded turnover per month in excel formatCurrently No Files | Kshs.1000(cost per annum)+/- US$11 p.a. | ![]() |
| Historical monthly debt traded deals (hmdd)Historical debt traded deals per month in excel formatCurrently No Files | Kshs.1000(cost per annum)+/- US$11 p.a. | ![]() |
| Historical monthly debt traded volume/turnovers (hmdv)Historical debt traded volume/turnover per month in excel formatCurrently No Files | Kshs.1000(cost per annum)+/- US$11 p.a. | ![]() |
| Historical monthly foreign investors trading data (hfid)Historical monthly trading summary of foreign investors. Information consists: purchases, sales, total turnover, percentage to total equity market turnoverAvailable in excel format.Data Available From 2009 to 2010 | Kshs.3000(cost per annum)+/- US$33 p.a. | ![]() |
| Historical Annual equity turnovers (historical-annual-equity-turnovers)Historical equity traded turnover per year in excel formatData Available From 1992 to 2011 | Kshs.1000(cost per annum)+/- US$11 p.a. | ![]() |




