scholarly journals International Real Estate Review

2018 ◽  
Vol 21 (1) ◽  
pp. 41-70
Author(s):  
Wong Weng Wong ◽  
◽  
Wejendra Reddy ◽  

This study explores the sensitivity of the performance of Australian real estate investment trusts (A-REITs) to changes in short and long term interest rates. Based on the intertemporal capital asset pricing model in Merton (1973), we propose an asset pricing model that consists of market returns, macroeconomic indicators, and short and long term interest rates. The effect of market capitalisation is also explored. High debt funds show greater sensitivity to adverse movements in long term interest rates compared to low debt funds. This suggests that gearing levels play a significant role in the returns generating process. All size based portfolios exhibit strong exposure to market risk with medium size A-REITs displaying greater sensitivity to movements in both short and long term interest rates. Although market risk became a stronger driver of returns during the Global Financial Crisis (GFC), the impact was less prominent post-GFC possibly due to already low levels of interest which created an environment of cheap credit. The implications for asset allocation strategies are that portfolio managers and other investors can reduce exposure to interest rate risk by selecting funds with less leverage and are large in size. High debt funds benefit more during periods of low interest but this may be offset when there is a corresponding increase in long term interest rates.

2020 ◽  
Vol 12 (4) ◽  
pp. 1
Author(s):  
M. J. Alhabeeb

This study exposes the meaning and role of the Capital Asset Pricing Model (CAPM) and lays out the key elements that make it work. It shows the model’s theoretical strength and examines its applicability and validity as a technical tool to measure the expected return to the investment in stock, along with assessing the market risk associated with that investment.


2021 ◽  
Author(s):  
◽  
Danyi Bao

<p>This paper applies the Ibbotson and Sinquefield (1976) method and the Lally (2002) method to New Zealand data over the period 1960-2005 in order to estimate the market risk premium (MRP) in two versions of the capital asset pricing model (CAPM). With respect to the standard CAPM, the resulting Ibbotson estimate of the MRP for New Zealand was 6.11%. The resulting Lally estimate of the MRP ranged from 5.52% (in 1970) to 18.40% (in 1990), with an average of 7.95%, and was 6.40% for 2005. With respect to the simplified Brennan-Lally CAPM, the resulting Ibbotson estimate of the MRP for New Zealand was 8.49%. The resulting Lally estimate of the MRP ranged from 7.91% (in 1970) to 20.79% (in 1990), with an average of 10.33%, and was 8.78% for 2005. The Lally and the Ibbotson estimates of the MRP are similar in general. However, when market leverage is unusually high or low, they diverge significantly. In future, practitioners may need to choose between the estimates from the two methods when market leverage goes beyond the normal level.</p>


2021 ◽  
Vol 10 (2) ◽  
pp. 155
Author(s):  
Mohammad Farhan Qudratullah

Since the late 1960s, one of the stock performance analysis tools commonly used is Sharpe Ratio. The Sharpe Ratio consists of three components, namely stock return, risk-free returns, and stock risk. Many studies approach risk-free returns with interest rates, including when measuring the performance of Islamic stocks, while interest rates are prohibited in the concept of Islamic finance. Moreover, the stock risk is measured by a standard deviation which assumes returns are normally distributed, while many stock returns are non-normally distributed. This paper intends to measure the performance of Islamic stocks listed on the Indonesian Stock Exchange (IDX) for the period of January 2011 to July 2018 using a modified Sharpe Ratio. The ratio is modified by replacing the interest rate with four approaches: eliminating the interest rate, changing with zakah rates, changing with inflation, changing with the nominal gross domestic product, and replacing the risk measurement from Standard Deviation to Value at Risk (VaR). The findings provide almost the same results as the original measurement and thus, show very high suitability for using these models in other circumstances. Therefore, on the concept of Islamic finance, risk-free returns can be measured using these four approaches, especially inflation and GDP. This study also recommends inflation and GDP to measure risk-free returns in the Sharia's Compliant Asset Pricing Model (SCAPM) or Islamic Capital Asset Pricing Model (ICAPM).====================================================================================================ABSTRAK – Pengukuran Kinerja Saham Syariah di Indonesia menggunakan Sharpe Ratio Modifikasi. Sejak akhir 1960-an, salah satu alat mengukur kinerja saham yang biasa digunakan adalah Sharpe Ratio. Model Sharpe Ratio terdiri atas tiga komponen, yaitu return saham, return bebas risiko, dan risiko saham. Return bebas risiko diukur mengunakan variabel suku bunga yang digolongkan riba dan dilarang dalam konsep keuangan islam. Sedangkan risiko saham diukur dengan standar deviasi yang mengasumsikan data berdistribusi normal. Paper ini bertujuan untuk mengukur kinerja saham syariah yang terdaftar pada Bursa Efek Indonesia (BEI) untuk periode Januari 2011 sampai Juli 2018 dengan menggunakan Sharpe Ratio modifikasi. Kajian akan memodifikasi model Sharpe Ratio dengan mencari variabel alternatif penganti suku bunga dengan empat pendekatan, yaitu: menghilangkan variabel suku bunga tersebut, mengganti dengan zakat rate, mengganti dengan inflasi, dan mengganti dengan produk domestik bruto, serta mengganti standar deviasi dengan Value at Risk (VaR) sebagai pengukur risiko saham yang selanjutnya diimplementasikan pada pasar modal syariah di Indonesia periode Januari 2011 - Juli 2018. Hasil kajian menunjukkan kesesuaian yang sangat tinggi untuk hasil pengukuran kelima model tersebut. Dilihat dari kedekatan hasil pengukuran kinerja, kelima model tersebut dapat dikelompokkan menjadi dua, yaitu model dengan tingkat suku bunga, inflasi, dan PDB sebagai kelompok pertama, sedangkan model tanpa suku bunga dan tingkat zakat sebagai kelompok kedua 


Author(s):  
Cláudio Francisco Rezende ◽  
Vinícius Silva Pereira ◽  
Antonio Sergio Torres Penedo

The objective of this paper is to empirically investigate the applicability of the asset pricing model in a portfolio made up of groups of countries, the G20 for this case. In the meantime, it was intended to compare a complete sample of 14 constituent countries of the group, a subsample of four countries belonging to the BRICS and another of the countries that do not belong. The survey sample consisted of long-term interest rate data from these countries collected in the OECD database and also from the Central Bank of Brazil (Bacen). Based on the results of the regression of Panel data on fixed effects, we found evidence that there is a statistically positive relationship between the market risk premium and the interest rate risk premiums. The regression betas showed that the interest rate risk premium is not sensitive when considering the full sample of the G20 countries but is sensitive in the BRICS sample.


2020 ◽  
Vol 11 (1) ◽  
pp. 25
Author(s):  
Yunan Surono ◽  
Akhmad Irwansyah Siregar ◽  
R Adisetiawan

Every investor will pay attention to return and risk in investing in portfolios. In portfolio investment, this is known as the principle of high return high risk. To see this return and risk, 4 (four) models are known, namely 1) Capital Asset Pricing Model (CAPM) with beta factors (market risk), 2) French Fama models with beta, size and value factors, 3) Carhart model with factors beta, size, value and momentum, 4) the Arbitrage Pricing Theory (APT) model in this study, in addition to factors such as the model above, macro economic factors include economic growth, inflation, interest rates, the rupiah exchange rate against US dollars and the money supply. Models 1, 2 and 3 analyze from the fundamental side of the company while models 4 analyze from the macroeconomic side. Based on the theory of Ying (1966), Tauchen & Pitts (1983), Blume (1994), Lee & Swaminathan (2000), Gervais (2001) and Kaniel (2003) that the total trading volume affects the movement of stock indexes, stock prices and affects the magnitude of the level return and investment risk, then in this study the researchers added the total volume of activity factor as an effort to overcome the weaknesses found in the Carhart model where in calculations using the three sequential sort method, this model has not been able to record a holding period (the length of shares in the hands of investors) which in this study. The model with the addition of the total volume activity variable as a five factor pricing model is a model of the researcher's development. From the test results it can be concluded that the development model turned out to be better precision in estimating return and risk and its accuracy is more accurate than existing models.


2021 ◽  
Author(s):  
◽  
Danyi Bao

<p>This paper applies the Ibbotson and Sinquefield (1976) method and the Lally (2002) method to New Zealand data over the period 1960-2005 in order to estimate the market risk premium (MRP) in two versions of the capital asset pricing model (CAPM). With respect to the standard CAPM, the resulting Ibbotson estimate of the MRP for New Zealand was 6.11%. The resulting Lally estimate of the MRP ranged from 5.52% (in 1970) to 18.40% (in 1990), with an average of 7.95%, and was 6.40% for 2005. With respect to the simplified Brennan-Lally CAPM, the resulting Ibbotson estimate of the MRP for New Zealand was 8.49%. The resulting Lally estimate of the MRP ranged from 7.91% (in 1970) to 20.79% (in 1990), with an average of 10.33%, and was 8.78% for 2005. The Lally and the Ibbotson estimates of the MRP are similar in general. However, when market leverage is unusually high or low, they diverge significantly. In future, practitioners may need to choose between the estimates from the two methods when market leverage goes beyond the normal level.</p>


2019 ◽  
Vol 3 (01) ◽  
Author(s):  
Winston Pontoh ◽  
Novi Swandari Budiarso

Well-established life is a common objective of people, and in term of to reach that objective then most of people should utilize knowledge and skills. One of the effort of people is normally make an investment especially stock investment. One of the reference for investors in case to make stock investments is market risk. Stock beta is one of market risk representative which measures stock responsiveness on market movements and capital asset pricing model (CAPM) is one method to measure market risk.Keywords : market risk, stock investment, CAPM 


2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Winston Pontoh ◽  
Novi Swandari Budiarso

Well-established life is a common objective of people, and in term of to reach that objective then most of people should utilize knowledge and skills. One of the effort of people is normally make an investment especially stock investment. One of the reference for investors in case to make stock investments is market risk. Stock beta is one of market risk representative which measures stock responsiveness on market movements and capital asset pricing model (CAPM) is one method to measure market risk.Keywords : market risk, stock investment, CAPM


2019 ◽  
Vol 8 (2) ◽  
pp. 221-237
Author(s):  
William Wendy Ary

Penelitian ini menginvestigasi peranan sentimen investor terhadap return industri beserta implikasinya pada three-factor asset pricing model. Peranan sentimen investor pada penelitian ini diukur menggunakan proksi indeks keyakinan konsumen (IKK). Penelitian ini menggunakan data bulanan dari Januari 2013 sampai Desember 2017. Hasil penelitian ini membuktikan bahwa sentimen investor berpengaruh negatif terhadap return industri terutama pada sektor properti, real estate, dan konstruksi bangunan dan sektor keuangan, serta membuktikan pengaruh sentiment investor yang signifikan pada model asset pricing, khususnya three-factor asset pricing model. Secara garis besar, peranan sentimen investor yang signifikan tersebut menunjukkan adanya fenomena mispricing dalam melakukan penilaian harga aset di Pasar Modal Indonesia.


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