Time-Varying Risk Premia and the Efficiency of the New Zealand Foreign Exchange Market

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jingshan Liu

PurposeThe purpose of this study is to investigate the effects of uncertainty, namely, macroeconomic uncertainty (MU) and financial uncertainty (FU) on foreign exchange market stability, specifically on foreign exchange market pressure (EMP) and jump risk (RJV).Design/methodology/approachThe latent threshold time-varying parameter VAR (LT-TVP-VAR) econometric approach is used in estimations to solve structural breaks.FindingsThe relationship of uncertainties and China's foreign exchange market stability is latent threshold nonlinear dynamic time-varying. In China's renminbi (RMB) appreciation stage, both MU and FU weaken the appreciation pressure of RMB. Moreover, MU and FU significantly increase the RJV, while MU significantly affects the RJV of the foreign exchange market. In the RMB depreciation stage, both MU and FU strengthen the EMP.Research limitations/implicationsFindings based on data in China's foreign exchange market can be considered for other global markets in future research.Practical implicationsAn increase in MU and FU has a negative effect on foreign exchange stability. Regulators can prevent the economic system uncertainty shocks on foreign exchange market stability through observation and judgment of MU and FU, which helps prevent and relieve financial risks. Investors can reduce foreign exchange risk as the exchange rate rebounds after hedging behavior during high uncertainty periods.Originality/valueThe effect of MU on the foreign exchange market stability is greater than that of FU, regardless of whether EMP or RJV occurs in the foreign exchange market.


2018 ◽  
Vol 4 (2) ◽  
pp. 15
Author(s):  
David Spohn

This paper investigates the predictive ability of lagged buy-sell volume on current foreign exchange returns. Using novel Euro-Dollar foreign exchange market data from 2007 to 2015, we show that the buy-sell volume has an inverse correlation with current foreign exchange returns. Using conditional regression analysis, buy-sell volumes predict subsequent Euro-Dollar returns. We divide the data into two sub-samples. We use the first sub-sample to create a trading rule, and we use the second sub-sample to test the rule. After adjusting for time-varying calendar effects, we find that a profitable trading strategy exists using only buy-sell volume to predict returns.


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