Tax-loss selling and the January effect revisited: Evidence from municipal bond closed-end funds and exchange-traded funds

2021 ◽  
Author(s):  
Allen Carrion ◽  
Jiang Zhang
2006 ◽  
Vol 61 (6) ◽  
pp. 3049-3067 ◽  
Author(s):  
LAURA T. STARKS ◽  
LI YONG ◽  
LU ZHENG

This article considers how to improve the after-tax performance of a municipal bond portfolio by using tax-beneficial selling strategies. These strategies include tax loss harvesting (selling a bond at a price below the investor’s tax basis), applicable when interest rates increase, and tax rate arbitrage (paying tax earlier at a relatively low long-term capital gains rate, rather than at maturity at a much higher rate), applicable when rates decline. A tax-beneficial selling opportunity is a free investor-specific option, acquired automatically at the time of purchase. The combination of tax loss harvesting and rate arbitrage opportunities provides a straddle. The embedded tax option in a portfolio can be valued using option-adjusted spread–based bond analytics. Astute investors should maximize the value of the tax option in their portfolios, subject to the usual portfolio profile constraints. The author shows that bonds purchased near par are poorly suited for tax management and that dynamic tax management can improve the expected annual after-tax return by 20 to 30 bps.


2017 ◽  
Vol 6 (1) ◽  
pp. 18 ◽  
Author(s):  
Ayman Abdalmajeed Ahmad Al-smadi ◽  
Mahmoud Khalid Almsafir ◽  
Nur Hanis Hazwani Binti Husni

Investing can help a person's wealth to generate more, and investing in stock is proven as one of the most profitable forms of available investment. The benefits gained in stock broking are immediate Buy/Sell which investor can sell part of their investment any time and at low transaction cost. However, investing in stock will require investor to observe the market, as market can be a volatile place and investor need to acquire knowledge of what they actually are doing. This study will discuss the price trends over the year, and how it will get affected by the seasonality in Malaysia, which also known as the calendar effects. The factor to be investigated in this study is the price on holiday’s season, the January effect or any other monthly seasonality. The daily price of KPJ Healthcare Berhad for the year 2011 is the sample was chosen in this study. Further this study, data used is derived from the weak-form efficient markets hypothesis, which is the price history and case study. Regression method is used in this study in order to help achieving the findings. This should be a continuous study, and adding on more other factors, such as wars and economic crises, and traders, investors and other speculators. This paper has proved the existence of calendar anomalies in KPJ's stock price for Chinese New Effect, Aidilfitri Effect and Christmas Effect. However, the price changes are believed more likely due to the investors tormenting about central banks raising interest rates to restrain rising inflation. Other than that, for Aidilfitri Effect and Christmas Effect, further study should be perform since the raise of the stock market, may be due to the world’s stock market begin to be stronger after the European sovereign debt crisis to Spain and Italy in August. Conversely, there are positive returns for January. However, the findings are non-related to the January effect. This is because January effect arises due to tax-loss selling, which Malaysia has a different tax system compared to other countries. Shareholders in Malaysia are not necessary to pay any taxes on the return they gained from share trading.


1998 ◽  
Vol 7 (4) ◽  
pp. 105-111 ◽  
Author(s):  
Don R. Cox ◽  
Ken Johnston
Keyword(s):  

Author(s):  
Nur Ariefin Addinpujoartanto

January Effect is one of market anomaly where the stock returns in January are higher than other months. Some of causes the January Effect are the actions of investor who carry out tax-loss selling and windows dressing. In addition, investors have different views to choose stocks, based on market capitalization dan risk. This study is purposed to find the January Effect in the Indonesia Stock Exchange and January Effect on small company stock is stronger than large company stock. The data is normally distributed using the One-Sample Kolmogorov-Smirnov test. The test using the OLS method with dummy variable at five percent significance level. By using a sample of 30 large company stocks and 30 small company stocks based on market capitalization during period 2013-2017, the result of this study found a January Effect in the Indonesia Stock Exchange. But the January Effect doesn’t occur on small company stock, except on large company stock during that periode.


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