scholarly journals Insurance Stock Returns and Economic Growth

2012 ◽  
Vol 37 (3) ◽  
pp. 405-428 ◽  
Author(s):  
Chunyang Zhou ◽  
Chongfeng Wu ◽  
Donghui Li ◽  
Zhian Chen
Author(s):  
Jesper Rangvid

From Main Street to Wall Street examines the relation between the economy and the stock market. It discusses the academic theories and empirical facts, and guides readers through the fascinating interaction between economic activity and financial markets. Itexamines what causes long-run economic growth and shorter-term business-cycle fluctuations and analyses their impact on stock markets. From Main Street to Wall Street also discusses how investors can use knowledge of economic activity and financial markets to formulate expectations to future stock returns. The book relies on data, and figures and tables illustrate arguments and theories in intuitive ways.In the end, From Main Street to Wall Street helps academic scholars and practitioners navigate financial markets by understanding the economy.


Author(s):  
Jesper Rangvid

Chapter 1 contains an overview of the book. Part I introduces key concepts, definitions, and stylized facts regarding long–run economic growth and stock returns.Part II analyses the relation between economic growth and stock returns in the long run. Part III examines the shorter-horizon relation between economic growth and stock returns: the relation over the business cycle. Part IV explains how to make reasonable projections for economic activity, both for the short and the long run. Part V deals with expected future stock returns. The final part, a short one including one chapter only, explains how one can use the insights from the book when making investments.


Author(s):  
Jesper Rangvid

This chapter examines the relation between long-run economic growth and returns across countries. Have countries that have experienced high GDP growth historically also experienced high stock returns? The chapter contains three main messages. First, there is no clear tendency that countries that have grown fast in the past are also countries that have delivered high stock returns in the past. Second, as in the US, stock prices have in many countries followed economic activity in the long run. Third, real interest rates relate to economic growth across countries in the long run.Another conclusion emerging from this chapter is that long-run stock returns exceed long-run rates of economic growth and long-run risk-free rates by a wide margin.


2020 ◽  
Vol 13 (9) ◽  
pp. 187
Author(s):  
Chia-Lin Chang

This Editorial evaluates 14 invaluable and interesting articles in the Special Issue “Applied Econometrics” for the Journal of Risk and Financial Management (JRFM). The topics covered include recovering historical inflation data from postage stamps prices, FHA loans in foreclosure proceedings through distinguishing sources of interdependence in competing risks, information in earnings forecasts, nonlinear time series modeling, a systemic approach to management control through determining factors, economic freedom and FDI versus economic growth, efficient cash use of the Taiwan dollar, financial health prediction in companies from post-Communist countries, influence of misery index on U.S. Presidential political elections, multivariate student versus Gaussian regression models in finance, financial derivatives markets and economic development, income inequality and economic growth in middle-income countries, abnormal returns, mis-measured risk, network effects, and risk spillovers in stock returns.


1986 ◽  
Vol 14 (4) ◽  
pp. 100-101
Author(s):  
Michael Nieswiadomy ◽  
Kenneth L. Smith

2017 ◽  
Vol 9 (9) ◽  
pp. 117 ◽  
Author(s):  
Kuo-Hao Lee ◽  
Jonathan Ohn ◽  
Evren Eryilmaz

The main purpose of this research is to examine the causal relationship between the Energy industry and nine other industries by use of volatility instead of returns. Existing literatures find a causal relationship by use of stock returns, however, we find that using volatility reveals a causal relationship that might not otherwise be revealed through returns alone. Since the existing literature shows that volatility of stock prices is informative, we apply a Granger causality test by use of a leveraged bootstrap test developed by Hacker and Hatemi (2006) to investigate the causal behavior of the volatility. Our results show that volatility of the Energy industry causes volatility in two other industries- Industrials and Health Care. Also, the Energy industry market is affected by the Materials, Consumer Staples and Utilities industries. This finding is substantially different from the findings of previous research, and provides a novel approach to analyzing and solving the energy consumption and economic growth puzzle.


2019 ◽  
Vol 6 (2) ◽  
pp. 100
Author(s):  
Erric Wijaya ◽  
Tinjung Desy Nursanti

This study aims to look at the impact of internal and external factors to the stock return of food and beverage companies listed in the Indonesia Stock Exchange 2008 to 2011 period. The method used is the regression equation analysis of panel data using a common effect type.The results show that the internal factors such current ratio, debt to equity ratio and return on assets showed a positive and significant influence on the company's stock return of food and beverage industry in the BEI. While external factors namely SBI interest rate and economic growth showed a different result, where the SBI interest rate has a negative and significant relationship to the company's stock return, while economic growth has no significant negative relationship to the stock returns.


2021 ◽  
Author(s):  
Sunita Dasman

This study aims to explore the potential use of the cryptocurrency bitcoin as an investment instrument in Indonesia. The return obtained from bitcoin cryptocurrency is compared to other investment instruments, namely stock returns, gold and the rupiah exchange rate. The research period was carried out based on research data from 2011 to 2020. This study employee compares means test (t test) and analysis of variance (F test) on rate of return of bitcoin investment. The bitcoin return compare to the rate of return form the others investments instruments namely exchange rate, gold and stock. The study collected 120 data of each investments instruments: bitcoin, exchange rate, gold and stock from various of sources during 2011–2020. Then, we calculate the return and risk of individual investment instruments. The results showed that the bitcoin currency had the highest rate of return 18% with a standard deviation of 61% compared to exchange rate, gold and stock returns. While the rate of return for the others investment instruments showed less than 0.5% with standard deviation less than 5%. The rate of return bitcoin has significance difference compare to the rate of return of exchange rate, gold and stock. The study contribute for the investors who would like to invest on bitcoin. The investors should understand the characteristic of bitcoin in term of rate of returns and also the risk. This study also contributes to government of Indonesia on crypto currency development. The Indonesia government should adopt and regulate on crypto currency in the future to secure the investor and economic growth.


2015 ◽  
Vol 41 (10) ◽  
pp. 1046-1058 ◽  
Author(s):  
J. Christopher Hughen ◽  
Scott Beyer

Purpose – In the increasingly globalized economy, foreign exchange fluctuations have multiple, conflicting effects on domestic stock prices. The purpose of this paper is to examine return data to determine the relation between the dollar’s value and stock prices as it relates to monetary policy. Design/methodology/approach – The authors examine US stock returns over a 40-year period, which is classified according to monetary policy and dollar trend. To better understand the impact of foreign exchange fluctuations, the authors estimate a model of stock returns using the three Fama-French factors and a momentum factor. Then the authors explore the underlying economic fundamentals that drive the sharp difference in annual returns between periods when the dollar is in an uptrend trend with loose monetary policy and periods when the dollar is in a downtrend with tight monetary policy. Findings – Over the last 40 years, US stock returns were 2.5 times higher when the dollar was trending up vs down. The factor model of returns shows that equity returns are positively associated with periods when the dollar appreciated. Returns were particularly high when the dollar was in an uptrend during accommodative monetary policy. During these periods, stocks in the consumer goods and services industries provided relatively high returns. This occurred with strong economic growth due to consumer spending. Stocks exhibited the lowest returns when the dollar was depreciating and the Federal Reserve was tightening. Originality/value – The key contribution of the research is that currency trends should be analyzed in the light of monetary policy. During periods of accommodative monetary policy and dollar appreciation, the US stock market provided average returns of 18.7 percent compared to −3.29 percent during a period of restrictive monetary policy and dollar depreciation. This result is driven by stronger economic growth, which is composed of consumer spending that more than offsets the dollar’s impact on net exports.


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