Are Determinants of Portfolio Flows Always the Same? ‐ South African Results from a Time Varying Parameter Var Model

Published date01 March 2017
AuthorHaakon Kavli,Nicola Viegi
DOIhttp://doi.org/10.1111/saje.12137
Date01 March 2017
ARE DETERMINANTS OF PORTFOLIO FLOWS ALWAYS THE
SAME? - SOUTH AFRICAN RESULTS FROM A TIME
VARYING PARAMETER VAR MODEL
HAAKON KAVLI
AND NICOLA VIEGI*
Abstract
The literature on determinants of cross-border capital flows has consistently assumed the
determinants of such flows to be constant throughout the sample. This paper investigates
this notion by estimating the time varying relationship between portfolio flows to South
Africa and two widely accepted determinants of such flows: the sovereign spread and global
risk (measured by the CBOE Volatility Index, henceforth VIX). The results show that the
time variation is highly significant and a constant parameter model will give biased estimates
of the effects of risk on capital flows. The paper also gives important insights to South
African policy makers and financial practitioners: Bond flows (non-resident purchases of
South African bonds) have become more sensitive to the VIX after 2010. Share flows were
particularly sensitive at the peak of the 2008 global financial crisis, but have at other times
not responded in a statistically significant manner to changes in global risk. The relation-
ships are estimated using a time varying parameter vector autoregressive (TVP VAR) model
with stochastic volatility.
JEL Classification: F30, F32, C32
Keywords: Capital Flows, South Africa, TVP VAR
1. INTRODUCTION
South Africa and several other emerging markets including Mexico, Poland, Hong
Kong, Turkey and Chile have received average annual net bond inflows amounting
to more than 2% of their respective GDP since 2009. Equity inflows to these
economies have remained significantly lower in the same period (International Mon-
etary Fund, 2013). This paper aims to contribute to the large literature studying
the determinants of such flows by providing partial answers to the following ques-
tions: What explains the divergence between bond flows and share flows into South
Africa and other emerging markets? Are the determinants of such flows always the
same or do they change over time? We approach this problem by estimating the
time varying effect of two factors that have been widely recognised as important
* Corresponding author: University of Pretoria, Pretoria, South Africa. Tel: 012 420 3820.
E-mail: viegin@gmail.com
University of Pretoria, Pretoria, South Africa.
The Authors thank, without implicating, Lucrezia Reichlin, Shakill Hassan, Johannes
Fedderke and two anonymous referees for helpful comments. We also thank Economic
Research Southern Africa and the South African Reserve Bank for financial support.
V
C2017 Economic Society of South Africa. doi: 10.1111/saje.12137
3
South African Journal of Economics Vol. 85:1 March 2017
South African Journal
of Economics
drivers of cross-border portfolio flows: bond yields and global risk (as measured by
the CBOE Volatility Index, henceforth VIX).
1,2
For the first time to our knowledge, we estimate a truly time varying model of
bond and equity flows where the contemporaneous covariance matrix and the
lagged coefficients are all time varying. This allows us to estimate the impact of
shocks to each explanatory variable on portfolio flows to South Africa as they were
at any particular month in our sample. We can thus plot the impulse response of
capital flows to shocks in the determinants at different points in time, providing a
dynamic picture of these relationships. If the relationship was constant, this would
be a pointless complication of the estimation procedure, but our results confirm
that the time variation is indeed a crucial feature in these relationships.
The findings of this research are significant on two levels. First, there is substantial
time variation in the effect of both bond yields and global risk on the portfolio flows to
South Africa. This time variation will induce a strong bias to coefficients estimated on a
sample where the relationship is assumed to be constant. This will be particularly severe
if the sample in question includes the global financial crisis of 2008.
Secondly, our results give important guidance to understand the dynamics of
portfolio flows to South Africa. We learn that, contrary to what may be expected,
global risk has had no impact on monthly bond or equity flows to South Africa in
the period between 1998 and 2008. At the peak of the crisis however, global vola-
tility and/or risk aversion appears to have caused large volumes of bond and share
outflows. During the recovery from the crisis, share flows have remained unaffected
by changes in the global risk, whilst bond flows have become more sensitive than
they were even at the peak of the financial crisis. We speculate that this recent sen-
sitivity is not caused by the risk itself, but rather by what causes changes in volatil-
ity: announcements about the unprecedented monetary policy interventions that
have occurred over the same time period.
1.1 Capital Flows to South Africa
Foreign capital that enter South Africa is recorded on the Financial Account in the bal-
ance of payments under direct investments, portfolio investments, other investments or
as a change in the Reserve Bank’s net foreign reserves. Net portfolio flows (purchases of
bonds and shares by non-residents less South African residents purchases of foreign
bonds and shares) are the most volatile of the different categories, both relative to the its
own volume and in rand terms. Quarterly net portfolio flows have a standard deviation
of 21 billion rand compared to 16 billion rand for the current account deficit as a whole.
It is the portfolio flows that will be the focus of this paper.
The net portfolio flows as reported on the Balance of Payments consists of changes to
South Africa’s foreign liabilities (that is foreigners’ assets in South Africa) and South Afri-
ca’s foreign assets. Fig. 1 illustrates the importance of portfolio flows in funding South
1
The VIX calculates the volatility that is priced into options on the S&P 100 index according to
the Black Scholes formula (Black and Scholes, 1973). For an excellent introduction and discussion
of the VIX index and the older VXO index, see Carr and Wu(2004).
2
See for example Calvo et al. (1996); Taylor and Sarno (1997); Fratzscher
(2011); McCauley (2012); Bruno and Shin (2013) and others; all discussed further in section 2.
4 South African Journal of Economics Vol. 85:1 March 2017
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C2017 Economic Society of South Africa.

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