1 |
ARFIMA modely časových řad / ARFIMA time series modelsVdovičenko, Martin January 2014 (has links)
The thesis deal with long-memory processes which are defined by several ways. The main concern is dedicated to ARFIMA model, to its basic properties and its application. Next, graphical, semiparametric and parametric estimation methods of ARFIMA parameters are described in detail. Five selected R packages are introduced that are suitable for modeling long-memory processes. We discuss their basic functions with description of input arguments and output. Finally, the application of the packages on real data is discussed according to results of~each function. Data sample comes from the Nile River and represents its yearly minimal water levels. Powered by TCPDF (www.tcpdf.org)
|
2 |
Empirical analysis of inflation dynamics : evidence from Ghana and South AfricaBoateng, Alexander January 2017 (has links)
Thesis (Ph.D. (Statistics)) -- University of Limpopo, 2022 / Using the ARFIMA (autoregressive and fractionally integrated moving aver age) model extended with sGARCH (standard generalised autoregressive con ditional heteroscedasticity) and ’gjrGARCH (Glosten-Jagannathan-Runkle gen eralised autoregressive conditional heteroscedascity) innovations, fractional in tegration approach and state space model, this study has empirically examined
persistency of inflation dynamics of Ghana and South Africa, the only two coun tries in Sub-Saharan Africa with Inflation Targeting (IT) monetary policy. The
first part of the analysis employed monthly CPI (Consumer Price Index) in flation series for the period January 1971 to October 2014 obtained from the
Bank of Ghana (BoG), and for the period January 1995 to December 2014 ob tained from Statistics South Africa. The second part involves the estimation
of threshold effect of inflation on economic growth using annual data obtained
from the IMF (International Monetary Fund) database for the period 1981 to
2014, for both countries.
Results from the study showed that structural breaks, long memory and non linearities (or regime shifts) are largely responsible for inflation persistence,
hence the ever-changing nature of inflation rates of Ghana and South Africa.
ARFIMA(3,0.35,1)-‘gjrGARCH(1,1) under Generalised Error Distribution (GED)
and ARFIMA(3,0.50,1)-‘gjrGARCH(1,1) under Student-t Distribution (STD) mod els provided the best fit for persistence in the conditional mean (or level) of CPI
for Ghana and South Africa, respectively. The results from these models pro vided evidence of time-varying conditional mean and volatility in CPI inflation
rates of both countries. The two models also revealed an asymmetric effect of
inflationary shocks, where negative shocks appear to have greater impact than
positive shocks, in terms of persistence on the conditional mean with time varying volatility.
This thesis proposes a model that combines fractional integration with non linear deterministic terms based on the Chebyshev polynomials in time for
the analysis of CPI inflation rates of Ghana and South Africa. We tested for
non-linear deterministic terms in the context of fractional integration and esti mated the fractional differencing parameters, d to be 1.11 and 1.32 respectively,
for the Ghanaian and the South African inflation rates, but the non-linear
trends were found to be statistically insignificant in the two series. New ev idence from this thesis depicts that inflation rate of Ghana is highly persistent
and non-mean reverting, with an estimated fractional differencing parameter,
d > 1.0, and will therefore require some policy action to steer inflation back to
stability. However, the South African inflation series was found to be a cyclical
process with an order of integration estimated to be d = 0.7, depicting mean
reversion, with the length of the cycles approximated to last for 80 months.
Finally, the thesis incorporated structural breaks, long memory, non-linearity,
and some explanatory variables into a state space model and estimated the
threshold effect of inflation on economic growth. The empirical results suggest
that inflation below the estimated levels of 9% and 6% for Ghana and South
Africa respectively, will be conducive for economic growth.
The policy implications of these results for both countries are as follows. First,
both series had similar properties responsible for inducing inflation persistence
such as structural breaks, non-linearities, long memory and asymmetric re sponse to negatives shocks - but with varied degrees of magnitude. For both countries, the conditional mean and unobserved components such as volatility
for both countries were found to be time-varying. This thesis, therefore, recom mends to the BoG and the South African Reserve Bank (SARB) - responsible
for monetary policies, and the Finance Ministers of both governments - respon sible for fiscal policies, to take the above-mentioned properties into account in
the formulation of their monetary policies.
Second, the thesis recommends that the BoG and the SARB consolidate the IT
policy, since keeping inflation below the targets set of 9% and 6%, respectively
for Ghana and South Africa, will boost economic growth. Third, policymakers
could also design measures (monetary and fiscal policies) such as increase in
interest rates, credit control, and reduction of unnecessary expenditure, among
others, to control inflation due to its adverse effects on market volatility. Even
though an increase in interest rates could assist in curtailing the recent and
anticipated increase in inflation rates in both countries, where targets have
been missed by Ghana and South Africa, it will also be prudent to legislate
monetary policies around demand-supply side since the problem of both coun tries appears to be more of a structuralist than a monetarist. It is, therefore,
recommended that both countries tighten the IT monetary policy in order to re duce inflation persistence. This will eventually impact on poverty and income
distribution with ramifications for economic growth and/or development.
The fourth implication of these results is that governments and central banks
should be mindful of the actions and decisions they take, in the sense that
unguarded decisions and unnecessary alarms could raise uncertainties in the
economy, which could, in turn, affect the future trajectory of inflation. Finally,
the thesis recommends that governments of both countries strengthen the pri vate sector, which is the engine of growth. For small and open economies such
as Ghana and South Africa, this will grow the economy through job creation
and restore investor confidence. / National Research Foundation (NRF),
Department of Science and Technology (DST),
Telkom’s Tertiary Education Support Programme (TESP) and the NRF-DST Centre of
Excellence for Mathematical and Statistical Sciences (CoE-MaSS)
|
3 |
The relationship between the forward– and the realized spot exchange rate in South Africa / Petrus Marthinus Stephanus van HeerdenVan Heerden, Petrus Marthinus Stephanus January 2010 (has links)
The inability to effectively hedge against unfavourable exchange rate movements, using the
current forward exchange rate as the only guideline, is a key inhibiting factor of international
trade. Market participants use the current forward exchange rate quoted in the market to make
decisions regarding future exchange rate changes. However, the current forward exchange rate
is not solely determined by the interaction of demand and supply, but is also a mechanistic
estimation, which is based on the current spot exchange rate and the carry cost of the
transaction. Results of various studies, including this study, demonstrated that the current
forward exchange rate differs substantially from the realized future spot exchange rate. This
phenomenon is known as the exchange rate puzzle.
This study contributes to the dynamics of modelling exchange rate theories by developing an
exchange rate model that has the ability to explain the realized future spot exchange rate and
the exchange rate puzzle. The exchange rate model is based only on current (time t) economic
fundamentals and includes an alternative approach of incorporating the impact of the interaction
of two international financial markets into the model. This study derived a unique exchange rate
model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem
is based on the generally excepted fallacy that current non–stationary, level time series data
cannot be used to model exchange rate theories, because of the incorrect assumption that all
the available econometric methods yield statistically insignificant results due to spurious
regressions. Empirical evidence conclusively shows that using non–stationary, level time series
data of current economic fundamentals can statistically significantly explain the realized future
spot exchange rate and, therefore, that the exchange rate puzzle can be solved.
This model will give market participants in the foreign exchange market a better indication of
expected future exchange rates, which will considerably reduce the dependence on the
mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are
a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.
|
4 |
The relationship between the forward– and the realized spot exchange rate in South Africa / Petrus Marthinus Stephanus van HeerdenVan Heerden, Petrus Marthinus Stephanus January 2010 (has links)
The inability to effectively hedge against unfavourable exchange rate movements, using the
current forward exchange rate as the only guideline, is a key inhibiting factor of international
trade. Market participants use the current forward exchange rate quoted in the market to make
decisions regarding future exchange rate changes. However, the current forward exchange rate
is not solely determined by the interaction of demand and supply, but is also a mechanistic
estimation, which is based on the current spot exchange rate and the carry cost of the
transaction. Results of various studies, including this study, demonstrated that the current
forward exchange rate differs substantially from the realized future spot exchange rate. This
phenomenon is known as the exchange rate puzzle.
This study contributes to the dynamics of modelling exchange rate theories by developing an
exchange rate model that has the ability to explain the realized future spot exchange rate and
the exchange rate puzzle. The exchange rate model is based only on current (time t) economic
fundamentals and includes an alternative approach of incorporating the impact of the interaction
of two international financial markets into the model. This study derived a unique exchange rate
model, which proves that the exchange rate puzzle is a pseudo problem. The pseudo problem
is based on the generally excepted fallacy that current non–stationary, level time series data
cannot be used to model exchange rate theories, because of the incorrect assumption that all
the available econometric methods yield statistically insignificant results due to spurious
regressions. Empirical evidence conclusively shows that using non–stationary, level time series
data of current economic fundamentals can statistically significantly explain the realized future
spot exchange rate and, therefore, that the exchange rate puzzle can be solved.
This model will give market participants in the foreign exchange market a better indication of
expected future exchange rates, which will considerably reduce the dependence on the
mechanistically derived forward points. The newly derived exchange rate model will also have an influence on the demand and supply of forward exchange, resulting in forward points that are
a more accurate prediction of the realized future exchange rate. / Thesis (Ph.D. (Risk management))--North-West University, Potchefstroom Campus, 2011.
|
Page generated in 0.0543 seconds