Contrasting GARCH Daily Variance Predictions Between Foreign Exchange Returns and Carry Trade Strategy Returns

2019 ◽  
Vol 10 (11) ◽  
pp. 1027-1044
Author(s):  
Larissa J. Adamiec ◽  
◽  
Deborah Cernauskas ◽  

GARCH does a better job predicting carry trade strategy returns than the foreign exchange returns. Using two time periods from 1998-2010 and then from 2010-2018 we find the daily variance to have dropped between period 1 and period 2 for both daily foreign exchange spot prices and daily carry trade strategy returns. Comparing daily spot price returns to daily carry trade strategy returns in each time period we find differences in the sample variances. Daily variance in the foreign exchange market has changed within the last twenty years. As one of the most liquid markets, the FX market has seen significant losses in both spot price returns and carry trade strategy returns. The current market place has historic low levels of volatility. Since the 2008 financial crash asset prices have steadily risen in levels reducing downside risk. In addition, foreign exchange rates have been stable. Given a decade’s worth of slow and steady growth coupled with stabilization has reduced the variance in returns. Popular predictive volatility model GARCH has a long-run variance component. The inclusion of such a parameter allows for the model to remember past financial crisis or “normal” times. Returns in the carry trade are marked by periods of severe downward risk and losses. The carry trade will often have long-term trends of small positive returns only to give back all of the returns in one downward move.

2017 ◽  
Vol 5 (1) ◽  
pp. 1-20
Author(s):  
Ghulam Abbas ◽  
Roni Bhowmik ◽  
Laxmi Koju ◽  
Shouyang Wang

AbstractThis paper examines the relationship between stock market (KSE-100), money market (M2 and 180 days T-bill rate), and foreign exchange market (ER: PKR/USD) in Pakistan by using monthly data covering the period from 2000:M1 to 2015:M12. The study investigates long-run equilibrium relationship between these three financial markets by employing Johansen and Juselius[1] cointegration tests. Long-run and short-run causality relationship between stock market and other macroeconomic variables is also established by employing vector error correction model (VECM) and pairwise granger causality tests. The results of multivariate cointegration test (trace test) indicate a one cointegrating vector, and the significant normalized cointegrating coefficients are evident of long run equilibrium relationship between all the selected variables. Negative and significant ECT (− 1) for all variables during full sample period witness the presence of long-run causality connection among variables, while during the military regime and democratic regime, significant difference of long-run causal connections are identified across the regimes. Moreover, the results of granger causality test also indicate that there are significant variations in the causality relationship among variables across the regimes. Therefore, it is essential for forecasting, planning and policy making to consider the importance of political governance system while analyzing the historical cointegration among financial market and make the necessary adjustments accordingly.


2013 ◽  
Vol 45 (02) ◽  
pp. 545-571 ◽  
Author(s):  
F. E. Benth ◽  
L. Vos

Spot prices in energy markets exhibit special features, such as price spikes, mean reversion, stochastic volatility, inverse leverage effect, and dependencies between the commodities. In this paper a multivariate stochastic volatility model is introduced which captures these features. The second-order structure and stationarity of the model are analyzed in detail. A simulation method for Monte Carlo generation of price paths is introduced and a numerical example is presented.


2018 ◽  
Vol 11 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Sharad Nath Bhattacharya ◽  
Mousumi Bhattacharya ◽  
Basav Roychoudhury

The article focuses on the behaviour of foreign exchange rates of BRICS countries in reference to US dollar with special emphasis on examining presence of nonlinear dependence and deterministic chaos. The findings did not indicate random walk behaviour in the returns for all exchange rates and performance of GARCH as well as EGARCH models are reasonably good in capturing the conditional volatility. Further evidences suggest existence of nonlinear dependence and we compute Maximal Lyapunov Exponent and Correlation Dimension test with multiple surrogate series which confirms the chaotic nature of the exchange rates for all countries under study except for South Africa. The findings support short run predictability in exchange rates while long run predictions are unlikely to be successful. The chaotic nature of the foreign exchange market calls for newer intervention mechanism by the Central Bank of the respective countries to limit the exchange rate volatility.


Author(s):  
Bakri Abdul Karim ◽  
Zulkefly Abdul Karim

This paper examines the long- and short-run dynamic causality between the futures price and trading volume in the Malaysian equity market. The data of futures price, trading volume and spot price are in daily frequency, spanning from 2006 to 2009. By using ARDL cointegration and VECM causality tests, the findings revealed the existence of long-run relationship between futures price, volume and spot prices. In addition, there exists a short-run bidirectional causality relationship running between futures return-trading volume and futures return-spot return. Thus, the stock index futures market in Malaysia is not informational efficient.  


2010 ◽  
Vol 10 (2) ◽  
pp. 85-94
Author(s):  
Lana Soelistianingsih

Using co-integration, the results show that the movement of Indonesian foreign exchange market and capital market has moved to long—run equilibrium with other currencies and indices from partner countries, while the short-run equilibrium between markets have been proved by using VECM. The Indonesian case supports portfolio balance approach introduced by Frankel. The increasing of IHSG attracts capital inflows and makes the demand for domesfic currency higher, and IDR becomes appreciation. Indonesian market has strong linkages with Asian regional markets especially with Hong Kong market, while having no relationship with US market.


2006 ◽  
Vol 14 (2) ◽  
pp. 79-108
Author(s):  
Seok Kyu Kang

This study is to examine the three theme of the eπiciency of Korea foreign exchange market including the unbiasedness testing, the relative efficiency estimates, and the information spillover efficiency. Data using the analysis 81’e won-dollar spot and futures in domestic and won-dollar forward in offshore. i.e.. New York and Singapore NDF (non-delivery forward). The empirical results are summarized as follows: First. the efficient market or unbiasedness expectations hypothesis is not rejected in the won-dollar currency futures market apart from offshore New York and Singapore NDF markets. This indicates that the won-dollar futures price is likely to be an accurate indicator of future won-dollar spot prices without the trader having to pay a risk premium for the privilege of trading the contract. Second. the findings suggest the domestic won-dollar futures market is 13.58% efficient. the Singapore offshore won-dollar NDF market is 11.38% efficient. and the New York offshore won-dollar NDF market is 2.68% efficient. This indicates that the domestic won-dollar futures market is more efficient than the offshore won-dollar NDF market. It is therefore possible to conclude that the domestic currency futures price is a relatively successful predictor of the future spot price. Third. the findings suggest the information spillover exists between domestic won-dollar spot/futures market and offshore won-dollar New York NDF market in both direction. This indicates that the two markets are efficiently linked.


2019 ◽  
Vol 11 (12) ◽  
pp. 3240
Author(s):  
Qian Zhang ◽  
Kuo-Jui Wu ◽  
Ming-Lang Tseng

This paper constructs a heterogeneous agent model for the foreign exchange market that is based on the law of supply and demand and includes carry trade, central bank intervention, and macroeconomic fundamentals. With the artificial intelligence method of the unscented Kalman filter, this paper investigates carry traders’ expectation formation and risk aversion and the impact of their activities on the movement of the Chinese yuan exchange rate and on the efficiency of central bank intervention. The findings demonstrate that carry traders’ activities are partially responsible for fluctuations in the Chinese yuan exchange rate; carry traders behave with obvious risk aversion; their activities tend to weaken the ability of the central bank to intervene in China’s foreign exchange market; and the volatility of the Chinese yuan exchange rate and the weight of carry traders are negatively related. Based on these empirical results, specific suggestions for exploring sustainable financial resources are provided.


2015 ◽  
Vol 47 (38) ◽  
pp. 4037-4055
Author(s):  
Joscha Beckmann ◽  
Ansgar Belke ◽  
Michael Kühl

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