scholarly journals Carry-Trade Returns and Segmented Risk Pricing

2021 ◽  
Author(s):  
Gordon Schulze
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Risk Aversion ◽  
Stock Returns ◽  
The United States ◽  
Carry Trade ◽  
Risk Pricing ◽  
Country Differences ◽  
Cross Country ◽  
The Interest Rate

AbstractThe returns to carry-trades are controversially discussed. There seems to be no unifying risk-based explanation of currency returns and stock returns, while the countries’ interest rate differential plays a leading part in the carry-trade performance. Therefore, this paper addresses carry-trade returns from a risk-pricing perspective and examines if these returns can be connected to cross-country differences in risk pricing in the interest-rate market compared to the stock market. Data from Thomson Reuters Datastream and Federal Reserve Economic Data covering Australia, Japan, New Zealand, Switzerland and the United States were analyzed based on GMM estimation. The results indicate significant and persistent cross-country differences in risk aversion in the interest-rate market compared to the implied risk aversion in the stock market. This may offer opportunities for risk arbitrage and, therefore, a risk pricing-related explanation of carry-trade returns.

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.

The Mechanism of Shifting From Direct Monetary Policies to Indirect Monetary Policies

2021 ◽  
Vol 39 (11) ◽  
Author(s):  
Saad Khalaf ◽  
Abdul Rahman Abdul Ridha ◽  
Hussein Habeeb
Keyword(s):  
Interest Rate ◽  
Main Tool ◽  
The United States ◽  
The European Union ◽  
Monetary Policies ◽  
Policy Makers ◽  
The United Kingdom ◽  
The World ◽  
New Policies ◽  
The Interest Rate

After 2008, a new term appeared on monetary policies after the direct monetary policies failed to reach a solution to the economic deficit that occurred in the economies of many countries, especially after the mortgage crisis that plagued the financial markets in most countries of the world, as these countries tried to reduce the interest rate to Zero or close to it in order to move the economy, but it did not respond despite the fact that the interest rate is the main tool and is considered the control stick in direct monetary policies.  Thus, it became imperative for those countries to use new tools in order to get out of that crisis. Japan is considered the first to use these new policies and solutions before that period, and he is the first to call them indirect monetary policies. These tools were called by many names, including quantitative easing, credit facilitation and others. Many names, but it was the best solution by monetary policy makers for many countries, including the United States of America, the United Kingdom of Britain and the European Union, which represent the most powerful economies in the world,

scholarly journals Monetary Policy Effects on Energy Sector Bubbles

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 472
Author(s):  
Petre Caraiani ◽  
Adrian Călin
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Asset Prices ◽  
The United States ◽  
Energy Sector ◽  
Monetary Policy Shocks ◽  
Policy Shocks ◽  
The Difference ◽  
The Interest Rate ◽  
The Impact

We investigate the effects of monetary policy shocks, including unconventional policy measures, on the bubbles of the energy sector, for the case of the United States. We estimate a time-varying Bayesian VAR model that allows for quantifying the impact of monetary policy shocks on asset prices and bubbles. The energy sector is measured through the S&P Energy Index, while bubbles are measured through the difference between asset prices and the corresponding dividends for the energy sector. We find significant differences in the impact of monetary policy shocks for the aggregate economy and for the energy sector. The findings seem sensitive to the interest rate use, i.e., whether one uses the shadow interest rate or the long-term interest rate.

Stock Market Linkages Before and After the Asian Financial Crisis: Evidence from Three Greater China Economic Area Stock Markets and the US

2006 ◽  
Vol 09 (02) ◽  
pp. 297-315 ◽  
Author(s):  
Hwahsin Cheng ◽  
John L. Glascock
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
The United States ◽  
Asian Financial Crisis ◽  
Greater China ◽  
Market Linkages ◽  
Economic Area ◽  
Before And After

We investigate the stock market linkages between the United States and three Greater China Economic Area stock markets — China, Hong Kong, and Taiwan, before and after the 1997 Asian financial crisis. Daily stock market indices from January 1995 to December 2000 are used for the analysis. Results from Granger causality test indicate increased feedback relationships between the markets in the post-crisis period. We also find, from the principal component analysis, fewer common factors affecting stock returns after the crisis, suggesting more harmonious market co-movements after the financial crisis. Additionally, results from a variance decomposition analysis suggest that stock markets are more responsive to foreign shocks after the crisis. This further strengthens the evidence that stock markets become more interrelated after the 1997 Asian financial crisis.

scholarly journals Cross-Country Differences in Intergenerational Earnings Mobility

2002 ◽  
Vol 16 (3) ◽  
pp. 59-66 ◽  
Author(s):  
Gary Solon
Keyword(s):  
United States ◽  
Intergenerational Transmission ◽  
Intergenerational Mobility ◽  
Economic Status ◽  
The United States ◽  
International Studies ◽  
The Third ◽  
Income Status ◽  
Country Differences ◽  
Cross Country

International studies of the extent to which economic status is passed from one generation to the next are important for at least two reasons. First, each study of a particular country characterizes an important feature of that country's income inequality. Second, comparisons of intergenerational mobility across countries may yield valuable clues about how income status is transmitted across generations and why the strength of that intergenerational transmission varies across countries. The first section of this paper explains a benchmark measure of intergenerational mobility commonly used in U.S. studies. The second section summarizes comparable empirical findings that have accumulated so far for countries other than the United States. The third section sketches a theoretical framework for interpreting cross-country differences in intergenerational mobility.

scholarly journals A STUDY OF INDONESIA’S STOCK MARKET

2019 ◽  
pp. 465-476 ◽  
Author(s):  
Dinh Hoang Bach Phan ◽  
Thi Thao Nguyen Nguyen
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Least Squares ◽  
Generalized Least Squares ◽  
Stock Index ◽  
Monthly Data ◽  
Generalized Least Squares Estimator ◽  
The Interest Rate ◽  
Stock Index Returns

Using monthly data from January 1995 to December 2017, this paper tests whetherIndonesian stock index returns are predictable. In particular, we use eight macrovariables to predict the Indonesian composite and six sectoral index returns using thefeasible generalized least squares estimator. Our results suggest that the Indonesianstock index returns are predictable. However, the predictability depends not only onthe macro predictor used but also on the indexes examined. Second, we find that themost popular predictor is the exchange rate, followed by the interest rate. Finally, ourmain findings hold for a number of robustness tests.

scholarly journals A variance component analysis of the moral circle

2021 ◽  
Author(s):  
Bastian Jaeger ◽  
Matti Wilks
Keyword(s):  
Multilevel Modeling ◽  
Variance Components ◽  
Variance Component ◽  
The United States ◽  
Variance Component Analysis ◽  
Moral Concern ◽  
The United Kingdom ◽  
Country Differences ◽  
Cross Country ◽  
Target Characteristics

People’s treatment of others—humans, animals, or other targets—often depends on whether they think the entity is worthy of moral consideration. Recent work has begun to examine which factors determine whether an entity is included in people’s moral circle. Here, we rely on multilevel modeling to map the variance components of the moral circle. We examine how much variance in moral concern is explained by who is being judged (i.e., between-target differences), by who is making the judgment (i.e., between-judge differences), and by their interaction. Two studies with participants from the Netherlands, the United States, the United Kingdom, and Australia (N = 836) show that all three components explain substantial amounts of variance in judgments of moral concern. Few cross-country differences emerged. Thus, to accurately predict when people grant moral standing to a target, characteristics of the target, characteristics of the judge, and their interaction need to be considered.

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