Model Selection Testing for Diffusion Processes with Applications to Interest Rate and Exchange Rate Models

2009 ◽  
Author(s):  
Hwan-sik Choi ◽  
Minsoo Jeong ◽  
Joon Y. Park
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Model Selection ◽  
Diffusion Processes ◽  
Exchange Rate Models ◽  
Selection Testing

scholarly journals Model Uncertainty and Exchange Rate Forecasting

2017 ◽  
Vol 52 (1) ◽  
pp. 341-363 ◽  
Author(s):  
Roy Kouwenberg ◽  
Agnieszka Markiewicz ◽  
Ralph Verhoeks ◽  
Remco C. J. Zwinkels
Keyword(s):  
Exchange Rate ◽  
Model Selection ◽  
Model Uncertainty ◽  
Selection Rule ◽  
Time Varying ◽  
Exchange Rate Forecasting ◽  
Out Of Sample ◽  
Small Set ◽  
Strong Performance ◽  
Exchange Rate Models

Exchange rate models with uncertain and incomplete information predict that investors focus on a small set of fundamentals that changes frequently over time. We design a model selection rule that captures the current set of fundamentals that best predicts the exchange rate. Out-of-sample tests show that the forecasts made by this rule significantly beat a random walk for 5 out of 10 currencies. Furthermore, the currency forecasts generate meaningful investment profits. We demonstrate that the strong performance of the model selection rule is driven by time-varying weights attached to a small set of fundamentals, in line with theory.

The Role of Different Channels in Transmitting Monetary Policy into Output and Price in Vietnam

2015 ◽  
pp. 20-40
Author(s):  
Vinh Nguyen Thi Thuy
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Monetary Transmission ◽  
Impulse Response Functions ◽  
Short Run ◽  
The Exchange Rate ◽  
The Interest Rate ◽  
Interest Rate Channel

The paper investigates the mechanism of monetary transmission in Vietnam through different channels - namely the interest rate channel, the exchange rate channel, the asset channel and the credit channel for the period January 1995 - October 2009. This study applies VAR analysis to evaluate the monetary transmission mechanisms to output and price level. To compare the relative importance of different channels for transmitting monetary policy, the paper estimates the impulse response functions and variance decompositions of variables. The empirical results show that the changes in money supply have a significant impact on output rather than price in the short run. The impacts of money supply on price and output are stronger through the exchange rate and credit channels, but however, are weaker through the interest rate channel. The impacts of monetary policy on output and inflation may be erroneous through the equity price channel because of the lack of an established and well-functioning stock market.

Macroeconomic Determinants of Stock Market Prices in Nepal

2020 ◽  
Vol 2 (1) ◽  
pp. 56-65
Author(s):  
Bhim Prasad Panta
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Developing Economies ◽  
Annual Data ◽  
Economic Variables ◽  
Market Prices ◽  
Ardl Model ◽  
Long Run

Background: Stock market plays a crucial role in the financial system of a country. It can be viewed as a channel through which resources are properly channelized. It enables the governments and industry to raise long-term capital for financing new projects. The stock markets of developing economies are likely to be sensitive to various macro-economic factors such as GDP, imports, exports, exchange rates etc., when there is high demand on financial products, as a constituent of financial market, ultimately stock market needs to develop. Many factors can be a signal to stock market participants to expect a higher or lower return when investing in stock and one of these factors are macroeconomic variables and thus, macro-economic variables tend to effect on stock market development. Objective: This study examines the linkage between stock market prices (NEPSE index) and five macro-economic variables, namely; real GDP, broad money supply, interest rate, inflation, and exchange rate using ARDL model and to explain the behavior of the Nepal Stock Exchange Index. Methods: The ECM which is delivered from ARDL model through simple linear transformation to integrate short run adjustments with long run equilibrium without losing long run information. The analysis has been done by using 25 years' annual data from 1994 to 2019. Findings: The result suggests that the fluctuation of Nepse Index in long run is strongly associated with broad money supply, interest rate, inflation, and exchange rate. Conclusion: Though Nepalese stock market is in primitive stage, broad money supply, interest rate, inflation and exchange rate are major factors affecting stock market price of Nepal. So, policies and strategies should be made and directed taking these in to consideration. Implication: The findings of research can be helpful to understand the behavior of Nepalese stock market and develop policies for market stabilization.

Interest Rate, Foreign Exchange Rate, and Stock Market Development in Nigeria

2018 ◽  
Vol 9 (3) ◽  
pp. 247-253 ◽  
Author(s):  
Edward Adedoyin Adebowale ◽  
Akindele Iyiola Akosile
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Foreign Exchange ◽  
The United States ◽  
Ordinary Least Squares ◽  
Foreign Exchange Rate ◽  
Market Development ◽  
National Bureau ◽  
Stock Market Development

This research investigated the effect of interest rate and foreign exchange rate on stock market development in Nigeria. This research was centered on two research problems. First, it was whether interest rate had a significant effect on stock market development in Nigeria. Second, it was whether foreign exchange rate had a significant impact on stock market development in Nigeria. The scope of the research covered the period from 1981 to 2017. Data for this period were chosen because it covered pre and post-liberalization periods of Nigerian financial system. This research made use of ex post facto research design. Secondary data were sourced from Nigerian Stock Exchange reports, Central Bank of Nigeria statistical bulletins, and National Bureau of Statistics publications. Data were collected on Stock Market Capitalization (SMC), Prime Lending Rate (PLR) and Real Exchange Rate (RER) (Nigerian Naira in relation to American Dollars of the United States). Data analysis was carried out with Ordinary Least Squares (OLS) and Cochrane-Orcutt Iterative techniques. The findings reveal that interest rate has a significant negative effect, and foreign exchange rate has a significant positive effect on Nigerian stock market development during the period covered. It is suggested that monetary authorities should strive to formulate policies that will make interest and foreign exchange rates stable, competitive, and at a level that will stimulate the investment of funds in the stock market.

scholarly journals Exchange Rate Volatility and Foreign Direct Investment

2020 ◽  
Vol 12 (3) ◽  
pp. 38
Author(s):  
Samuel Erasmus Alnaa ◽  
Ferdinand Ahiakpor
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Interest Rate ◽  
Gross Domestic Product ◽  
Real Exchange Rate ◽  
Direct Investment ◽  
Exchange Rate Volatility ◽  
External Factors ◽  
Conditional Heteroskedasticity ◽  
Data Set

The paper seeks to determine the effect of exchange rate volatility on foreign direct investment in Ghana from 1986 to 2017. The study adopted the Generalized Autoregressive Conditional Heteroskedasticity model to fit the data set from 1986-2017. The results indicate that, previous quarter information can influence current quarter volatility in Foreign Direct Investment. Real exchange rate, gross domestic product and treasure bill rate considered as external factors, are all found to be significant. This shows that, volatility from these factors can spillover to volatility in foreign direct investment.  To ensure stable inflow of foreign direct investment, we recommend that policies should gear towards stability in the forex market and interest rate among others.

In Which Exchange Rate Models Do Forecasters Trust?

2011 ◽  
Author(s):  
H. Takizawa ◽  
Jaewoo Lee ◽  
David Hauner
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Models

Carry Trade, Exchange Rates, and the Balance-of-Payments

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nelson H. Barbosa-Filho
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Real Exchange Rate ◽  
Foreign Debt ◽  
Balance Of Payments ◽  
Forward Rate ◽  
Spot Rate ◽  
Financial Constraint ◽  
Carry Trade ◽  
The Real

Abstract This paper presents a partial equilibrium model that integrates interest rate arbitrage with the balance-of-payments constraint to determine the real exchange rate. The sequential logic is the following: (i) carry-trade determines the term premium, with the spot rate showing greater volatility than the forward rate, (ii) uncovered interest rate parity determines the spot rate based on the real exchange rate consistent with a financial constraint, defined as a stable ratio of foreign reserves to foreign debt; and (iii) the trade balance consistent with the financial constraint determines the long-run real exchange rate for a given ratio of domestic to foreign income.

Does the impact of the COVID-19 pandemic influence the FX? A note.

2021 ◽  
Vol 15 (2) ◽  
Author(s):  
Evangelos Vasileiou
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Economic Recession ◽  
Interest Rate Risk ◽  
Economic Consequences ◽  
Domestic Currency ◽  
Effective Response ◽  
Policy Makers ◽  
The Cost ◽  
The Impact

This note shows that the effective response of a country in its battle against COVID-19 influences the exchange rate of its currency. Particularly, we examine the GBPUSD, AUDUSD and AUDGBP pairs of currency during the COVID-19 outbreak and the results show that the domestic currency of the country which documents more COVID-19 cases in each pair is depreciated against the foreign one. Therefore, a country which cannot effectively mitigate the impact of COVID-19 and whose currency is depreciated may present further economic consequences in the future. Such consequences extend beyond economic recession and may include sovereign and interest rate risk. These findings may be useful for policy makers in order to estimate the cost of the pandemic.

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