8 .
SNAPSHOT
THE INDICATOR
By David L . Ross and Catherine Mandler - Statera Capital
How much is Transacted Using Mobile Money Each Year in East Africa ?
This month ’ s indicator figure is $ 63,575,367,410
$ 63,575,367,410 What ?
$ 63,575,367,410 USD or $ 63.6 billion USD is the total sum of money that was transacted in aggregate in a single year on mobile money platforms in the East African Community ( EAC ) countries . This corresponds to 46 % of the total GDP of the EAC in the most recent statistics available from 2015 ( excluding Burundi )..
What do you mean by transacted on mobile money platforms ?
Mobile money is defined as the transfer of funds using a mobile phone . Common East African platforms for mobile money include M-Pesa , TigoPesa , MTN Mobile Money , and others . The amount transacted relates to the total amount of money sent from one person to another using the most recent figures available .
Which EAC country has the largest and which has the least amount of money transacted via mobile money ?
Kenya , the pioneer of mobile money and the largest economy in East Africa has the largest volume of money transacted over mobile platforms at $ 28.7 billion USD and largest percentage of their GDP transacted over mobile money at 63 %. Tanzania comes in second at $ 24.1 billion USD transacted comprising 45.6 % of GDP followed by Uganda and Rwanda at $ 9.2 billion USD ( 21.1 % of GDP ) and $ 1.5 billion ( 8.1 % of GDP ) respectively .
How does the use of mobile money in the EAC compare to other regions of the world ?
The largest player in mobile money transaction volume is China where two platforms , WeChat Pay and Alipay with hundreds of millions of users utilize these platforms each month to conduct billions of dollars of transactions . The highest percentage use of mobile money in the world by population is Cambodia at 67 % which is followed by three EAC members , Tanzania , Kenya , and Uganda followed by Zimbabwe , Ghana , and Rwanda .
Is the use of mobile money increasing or decreasing ?
Mobile money transaction volume is increasing in size significantly as the economies of the EAC grow as well as mobile money ’ s share of GDP . In Tanzania for example , mobile money volume increased 31 % in the first six months of 2016 compared to a similar period the year before .
What is driving the growth of mobile money ?
Several factors make mobile money successful in East Africa which include demographic factors and service factors . Demographic factors include the large percentage of the population that is unbanked , the large informal sector of the economy , and the highly disbursed population throughout the region . Service factors include the relatively high cost of transportation to move physical cash , the high cost of remittances , the pervasiveness of mobile phone and service access , and market dominance by Kenya ’ s Safaricom or interoperability among mobile money platforms in Tanzania .
In summary , it is cheaper , faster and easier to send money via a mobile money platform than to journey over to someone ’ s location to pick up physical cash .
David L . Ross is Managing Director of Statera Capital and US Ambassador to the Open University of Tanzania active in growing companies in Eastern and Southern Africa through primary investment , investment advisory , strategic partnerships , and executive education . Connect on LinkedIn at https :// tz . linkedin . com / in / davidlross1 or at david @ stateracapital . com .
Catherine Mandler is a Senior Analyst at Statera Capital . Connect on LinkedIn at www . linkedin . com / in / CatherineMandler or at catherine @ stateracapital . com .
By Eugene Mwai - The Exchange
IMPACT OF RISING INTEREST RATES
R
ising or declining interest rates present a lot of uncertainties in any market . It expresses the expectations of the market-players towards weekly auctions by the government in the domestic and capital money markets . Whereas there is no scientifically fixed rate where short-term interest rates should be stabilized , most markets the world over have an internal optimal stable rate which is acceptable by all market players . Kenya uses the 91 , 182 and 364 days Treasury bill rate .
Effects on the cost of money Interest rates measure the cost of funds lent to any issuer be it a corporate entity or the government . This translates into the current rate of 91 or 182 days becoming the benchmark upon which other derivatives can result from . Most commercial banks fix their base lending rates to the Treasury bill rate . When interest rates move either way the resultant effect on the banks is to adjust their lending rates . When interest rates are low , the owners of capital have to also lower their lending rates . With the cost of money being cheap , more activities are likely to emanate which include funds borrowed to finance more productive activities in the economy . This is why every government strives to keep the level of shortterm interest rates low . The Central Bank of Kenya has of late been rejecting high bids during the primary auction of both treasury bills and bonds leading to stability of short-term interest rates at desirable levels . However to reap the maximum benefits of a low interest rate regime , inflation has also to be held in check in tandem with exchange rates to ensure that savers do not get negative yields .
THE KENYA BOND MARKET
Conversely , when interest rates are high , the market witnesses the money-lazing concept-- where owners of capital look for the easiest , cheapest and risk-free way to invest those funds . This leads to diversion of resources from being lent to the productive sectors to high- yielding short-term products . High interest rates also indicate a riskier market and as such investors price and load that opportunity cost on the issuer . With the advent of rising interest rates , we are likely to go back to the era of defaulting borrowers , eventually leading us to the cases of bad debtors . For instance , in the Kenyan market , there was an aggressive retailing of unsecured loan products from the commercial banks a few years back . The evaluation criteria have always been based on monthly salaries . Once the underlying borrowing rates change due to rising short-term interest rates most borrowers will not be able to cope because salaries are not adjusted upwards with rising interest rates .
Effects on government borrowing There is empirical evidence the world over that high interest rates lead to more investor appetite . What drives higher demand for government papers is the stability in the interest rates . This therefore means with a proper management of the levels of interest rates in any market , the supply and demand can be also managed . Rising interest rates tend to send signals to investors that more and better return is yet to come . As such , most investors postpone their investments leading to low demand for weekly Treasury bills .
Effects on the equity market Capital and money markets are both complementing and supplementing at the sometime . However , to investors , what matters most is the return achievable in any of those markets . If the return on capital market
TREASURY BONDS LISTED AT THE NAIROBI SECURITIES EXCHANGE
Data Source : NSE Trading reports and CBK bond prospectus and Auction results .
MAY 2017
products like equities seems relatively very high than the money market , most institutional investors shift base . Therefore there is no doubt that as the interest rates keep creeping up , trading in equities remain subdued for some time .
Effects on bonds market Bonds ’ trading is entirely dependent on stable and predictable interest rates , to the extent that any disturbance in the stability can heavily discourage trading in the secondary market . The basic principal behind bonds ’ trading is the yield to maturity ( YTM ) concept which states that fixed income securities should be traded when priced to maturity . The remaining life of the bond has to be priced to the resultant yield in the market . By doing this , all the fixed income securities have to be marked or valued to current / existing market . This helps the bonds holder determine the worth of that investment at the existing prices . The prices of bonds are inversely related to the yield to maturity . This relationship commands all the primary and secondary market of the treasury securities . In a rising interest rates market , therefore , the value of the fixed income securities , particularly treasury bills and bonds tend to decline . This makes the holders to book losses on those investment which can easily be realized when those bonds are literally sold to third parties . In a scenario where interest rates are rising , bondholders would be booking huge losses . However , since no trader of bonds would wish to make loses when selling , trading at the secondary market comes almost to a halt .
The table below shows government fixed rate bonds that are listed at the Nairobi Securities Exchange and the indicative market yields and current market value . NB : not all bonds trade on a regular basis and therefore their respective yield to maturity is obtained through interpolation by using the benchmark bonds .
Issue No .
Date of Issue
Maturity Date
Coupon Rate
BONDS LISTED AT THE NSE |
Date : |
15-Apr-17 |
Face Value |
Days to |
Indicative |
|
Accrued Interest |
in millions |
Maturity |
YTM (%) |
Price |
( per 100 ) |
GOVERNMENT OF KENYA FIXED RATE TREASURY BONDS - Priced to maturity ( Face value in Kshs ) |
FXD2 / 2015 / 2 |
29-Jun-15 |
26-Jun-17 |
12.629 % |
|
18,379 |
72 |
|
10.064 |
104.2697 |
3.8165 |
FXD1 / 2016 / 2 |
25-Jan-16 |
22-Jan-18 |
15.760 % |
|
20,155 |
282 |
|
10.604 |
107.2408 |
3.5503 |
FXD2 / 2016 / 2 |
23-May-16 |
21-May-18 |
12.020 % |
|
4,729 |
401 |
|
11.070 |
105.7228 |
4.7882 |
FXD3 / 2016 / 2 |
19-Dec-16 |
17-Dec-18 |
12.506 % |
|
10,535 |
611 |
|
11.892 |
104.8890 |
4.0198 |
FXD1 / 2012 / 5 |
28-May-12 |
22-May-17 |
11.855 % |
|
22,588 |
37 |
|
7.713 |
105.1158 |
4.7225 |
FXD1 / 2013 / 5 |
29-Apr-13 |
23-Apr-18 |
12.892 % |
|
33,689 |
373 |
|
10.960 |
107.9449 |
6.1272 |
FXD2 / 2013 / 5 |
01-Jul-13 |
25-Jun-18 |
11.305 % |
|
12,908 |
436 |
|
11.207 |
103.4871 |
3.4163 |
FXD3 / 2013 / 5 |
25-Nov-13 |
19-Nov-18 |
11.952 % |
|
14,946 |
583 |
|
11.782 |
104.9750 |
4.7611 |
FXD1 / 2014 / 5 |
28-Apr-14 |
22-Apr-19 |
10.870 % |
|
25,543 |
737 |
|
12.357 |
102.5647 |
5.1662 |
FXD2 / 2014 / 5 |
23-Jun-14 |
17-Jun-19 |
11.934 % |
|
15,266 |
793 |
|
12.401 |
102.9272 |
3.8359 |
FXD1 / 2015 / 5 |
29-Jun-15 |
22-Jun-20 |
13.193 % |
|
30,376 |
1,164 |
|
12.689 |
105.2302 |
3.9869 |
FXD2 / 2015 / 5 |
30-Nov-15 |
23-Nov-20 |
13.920 % |
|
30,700 |
1,318 |
|
12.809 |
108.3781 |
5.2774 |
FXD1 / 2016 / 5 |
25-Apr-16 |
19-Apr-21 |
14.334 % |
|
19,546 |
1,465 |
|
12.924 |
111.1229 |
6.8126 |
FXD2 / 2016 / 5 |
25-Jul-16 |
19-Jul-21 |
14.069 % |
|
24,401 |
1,556 |
|
12.995 |
106.5561 |
3.1694 |
FXD1 / 2007 / 10 |
29-Oct-07 |
16-Oct-17 |
10.75 % |
|
9,309 |
184 |
|
10.941 |
105.2231 |
5.3159 |
FXD1 / 2008 / 10 |
25-Feb-08 |
12-Feb-18 |
10.75 % |
|
2,993 |
303 |
|
10.686 |
101.8201 |
1.8015 |
FXD2 / 2008 / 10 |
28-Jul-08 |
16-Jul-18 |
10.75 % |
|
13,505 |
457 |
|
11.289 |
101.9766 |
2.6284 |
FXD3 / 2008 / 10 |
29-Sep-08 |
17-Sep-18 |
10.75 % |
|
4,152 |
520 |
|
11.536 |
99.7415 |
0.7679 |
FXD1 / 2009 / 10 |
27-Apr-09 |
15-Apr-19 |
10.75 % |
|
4,967 |
730 |
|
12.352 |
102.5439 |
5.3159 |
FXD1 / 2010 / 10 |
26-Apr-10 |
13-Apr-20 |
8.79 % |
|
12,053 |
1,094 |
|
12.635 |
94.9722 |
4.3467 |
FXD2 / 2010 / 10 |
01-Nov-10 |
19-Oct-20 |
9.307 % |
|
14,934 |
1,283 |
|
12.782 |
94.7966 |
4.4234 |
FXD1 / 2012 / 10 |
25-Jun-12 |
13-Jun-22 |
12.705 % |
|
28,450 |
1,885 |
|
13.214 |
102.1706 |
4.0838 |
FXD1 / 2013 / 10 |
01-Jul-13 |
19-Jun-23 |
12.371 % |
|
37,386 |
2,256 |
|
13.296 |
99.8686 |
3.7385 |
FXD1 / 2014 / 10 |
27-Jan-14 |
15-Jan-24 |
12.180 % |
|
35,584 |
2,466 |
|
13.342 |
97.6185 |
2.7438 |
FXD1 / 2016 / 10 |
29-Aug-16 |
17-Aug-26 |
15.039 % |
|
18,312 |
3,411 |
|
13.550 |
109.6701 |
1.9418 |
FXD1 / 2006 / 11 |
25-Sep-06 |
11-Sep-17 |
13.75 % |
|
4,031 |
149 |
|
10.667 |
102.4241 |
1.2466 |
FXD1 / 2006 / 12 |
28-Aug-06 |
13-Aug-18 |
14.00 % |
|
3,901 |
485 |
|
11.399 |
105.4370 |
2.3462 |
FXD1 / 2007 / 12 |
28-May-07 |
13-May-19 |
13.00 % |
|
4,865 |
758 |
|
12.373 |
106.5225 |
5.4286 |
FXD1 / 2007 / 15 |
26-Mar-07 |
07-Mar-22 |
14.50 % |
|
3,655 |
1,787 |
|
13.193 |
105.8981 |
1.3146 |
FXD2 / 2007 / 15 |
25-Jun-07 |
06-Jun-22 |
13.50 % |
|
7,237 |
1,878 |
|
13.213 |
105.6033 |
4.5989 |
FXD3 / 2007 / 15 |
26-Nov-07 |
07-Nov-22 |
12.50 % |
|
32,316 |
2,032 |
|
13.247 |
102.3106 |
5.2198 |
FXD1 / 2008 / 15 |
31-Mar-08 |
13-Mar-23 |
12.50 % |
|
7,381 |
2,158 |
|
13.274 |
97.7592 |
0.8929 |
FXD1 / 2009 / 15 |
26-Oct-09 |
07-Oct-24 |
12.50 % |
|
9,420 |
2,732 |
|
13.400 |
101.9999 |
6.1813 |
FXD1 / 2010 / 15 |
29-Mar-10 |
10-Mar-25 |
10.25 % |
|
22,012 |
2,886 |
|
13.434 |
85.4649 |
0.7321 |
FXD2 / 2010 / 15 |
27-Dec-10 |
08-Dec-25 |
9.00 % |
|
12,036 |
3,159 |
|
13.494 |
80.2784 |
2.8929 |
FXD1 / 2012 / 15 |
24-Sep-12 |
06-Sep-27 |
11.00 % |
|
25,988 |
3,796 |
|
13.660 |
86.1995 |
0.7857 |
FXD1 / 2013 / 15 |
25-Feb-13 |
07-Feb-28 |
11.25 % |
|
30,618 |
3,950 |
|
13.719 |
87.8977 |
1.6690 |
FXD2 / 2013 / 15 |
29-Apr-13 |
10-Apr-28 |
12.00 % |
|
23,681 |
4,013 |
|
13.743 |
95.9407 |
5.7033 |
FXD1 / 2008 / 20 |
30-Jun-08 |
05-Jun-28 |
13.75 % |
|
35,429 |
4,069 |
|
13.765 |
104.2826 |
4.4196 |
FXD1 / 2011 / 20 |
30-May-11 |
05-May-31 |
10.00 % |
|
9,366 |
5,133 |
|
13.780 |
80.7144 |
3.9835 |
FXD1 / 2012 / 20 |
26-Nov-12 |
01-Nov-32 |
12.00 % |
|
42,359 |
5,679 |
|
13.800 |
93.3304 |
4.7802 |
FXD1 / 2016 / 20 |
26-Sep-16 |
01-Sep-36 |
14.00 % |
|
12,761 |
7,079 |
|
13.950 |
101.0413 |
0.7308 |
FXD1 / 2010 / 25 |
28-Jun-10 |
28-May-35 |
11.25 % |
|
20,193 |
6,617 |
|
14.200 |
84.5128 |
3.6161 |
SDB1 / 2011 / 30 |
28-Feb-11 |
21-Jan-41 |
12.00 % |
|
23,668 |
8,682 |
|
14.500 |
85.1069 |
1.7802 |
DISCLAIMER : Whilst every care has been taken in compiling the data the writer does not accept any responsibility for the accuracy or completeness of the information contained herein .