scholarly journals KINERJA PENGELOLAAN DANA PADA PASAR MODAL INDONESIA

2008 ◽  
Vol 10 (4) ◽  
Author(s):  
Yuyun Istavirti ◽  
Dr. Andi M. Alfian Parewangi ◽  
Dr. Ruslan Prijadi
Keyword(s):  
Asset Allocation ◽  
Mutual Fund ◽  
Market Timing ◽  
Selection Strategy ◽  
Fund Manager ◽  
Data Set ◽  
Financial Investment ◽  
Allocation Policy ◽  
Tactical Asset Allocation ◽  
Security Selection

The mutual fund is a fast growing, flexible and sizely attainable product, hence make it as favourable choice for the investors. As in other developing countries, however, the management of the fund invested in mutual fund is done by pointed fund manager. This paper raises and answers the question of how efficient the fund management is. This paper ustilizes the decomposition return model on the monthly data set from 2002-2006 in Indonesia. The model derived, enable us to trace and decompose the management performance into (i) the allocation policy skill, (ii) the security selection skill and (iii) the market timing strategy or the tactical asset allocation abilty.The model estimation result shows significant management capabilities on allocating the fund into suitable asset class. We record that the best asset allocation policy was on February 2002, June 2004, August 2004 and February 2006. Inline with this, another result shows the negatif contribution of the short term-tactical asset allocation as conformed by several previous studies; Treynor-Mazuy (1996), Wardhani (2003), and Henriksson (1984) among others. There is an exception for February 2006 where a successful market timing strategy contributed an additional 7.34% return. The security selection strategy is confirmed to have a positive and significant impact on the mutual fund performance. During the observation period, the best security selection strategy was achieved on February, March and July 2002, September 2003, and March, October, and December 2005. For these certain period, the security selection activities gave more than 2% additional monthly return.The policy implication is straightforward; a more intensively monitoring on the implementation of the planned asset allocation to give a safer financial investment environment for the investors. This paper also suggest the investment manager to provide a sufficient information about the portfolio’s risk profile. Our quantitative description has shown a large varieties both on return and risk across the mutual fund manager showing their varied risk taking behaviour, on which the investor has a right to know.JEL Classification: H54, G11, G31, O16Keywords: Mutual fund, asset allocation, security selection, market timing, period specific estimation, financial investment

scholarly journals KiwiSaver fund performance and asset allocation policy

2019 ◽  
Vol 31 (2) ◽  
pp. 232-257
Author(s):  
Huong Dieu Dang
Keyword(s):  
Asset Allocation ◽  
Tracking Error ◽  
Excess Return ◽  
Superior Performance ◽  
Data Set ◽  
Content Type ◽  
Allocation Policy ◽  
Holding Period ◽  
Management Fees ◽  
The Impact

Purpose This paper aims to examine the performance and benchmark asset allocation policy of 70 KiwiSaver funds catergorised as growth, balanced or conservative over the period October 2007-June 2016. The study focuses on the sources for returns variability across time and returns variation among funds. Design/methodology/approach Each fund is benchmarked against a portfolio of eight indices representing eight invested asset classes. Three measures were used to examine the after-fee benchmark-adjusted performance of each fund: excess return, cumulative abnormal return and holding period returns difference. Tracking error and active share were used to capture manager’s benchmark deviation. Findings On average, funds underperform their respective benchmarks, with the mean quarterly excess return (after management fees) of −0.15 per cent (growth), −0.63 per cent (balanced) and −0.83 per cent (conservative). Benchmark returns variability, on average, explains 43-78 per cent of fund’s across-time returns variability, and this is primarily driven by fund’s exposures to global capital markets. Differences in benchmark policies, on average, account for 18.8-39.3 per cent of among-fund returns variation, while differences in fees and security selection may explain the rest. About 61 per cent of balanced and 47 per cent of Growth funds’ managers make selection bets against their benchmarks. There is no consistent evidence that more actively managed funds deliver higher after-fee risk-adjusted performance. Superior performance is often due to randomness. Originality/value This study makes use of a unique data set gathered directly from KiwiSaver managers and captures the long-term strategic asset allocation target which underlines the investment management process in reality. The study represents the first attempt to examine the impact of benchmark asset allocation policy on KiwiSaver fund’s returns variability across time and returns variation among funds.

scholarly journals Performance of Sharia Mutual Fund: The Analysis of Asset Allocation in Indonesia

2017 ◽  
Vol 8 (3) ◽  
pp. 163-169
Author(s):  
Moh. Benny Alexandri ◽  
Meita Pragiwani ◽  
Dhylla Laiela
Keyword(s):  
Stock Market ◽  
Mutual Funds ◽  
Asset Allocation ◽  
Mutual Fund ◽  
Fund Performance ◽  
Mutual Fund Performance ◽  
Allocation Policy ◽  
Optimum Performance ◽  
The Public ◽  
Lack Of Information

Abstract Mutual fund has already existed in Indonesia since 1995 but it has not been socialized. It was due to lack of information to the public about how to invest in stock market, especially in mutual fund. So that, the public have difficulties in assessing and selecting the mutual fund that can provide optimum performance and has benefits affecting the growth of mutual fund. The purpose of this research is to analyze the effect of asset allocation policy (sharia stocks, sharia bonds (sukuk), and mudharabah deposits) on the performance of mixed sharia mutual fund in Indonesia during 2010-2013. The type of this research is descriptive-verification analysis. The samples used are seven mixed sharia mutual funds in each year. So the total number of samples are twenty eight mixed sharia mutual funds during 2010-2013. The result shows that asset allocation policy for sharia stocks, asset allocation policy for sharia bonds (sukuk), and asset allocation policy for mudharabah deposits are simultaneously affecting mixed sharia mutual fund performance. It is simultaniously indicated 0.522 or approximately 52.2%.

scholarly journals Do the Israeli Provident Funds have the Ability to Time the Bond and Stock Markets? An Analysis across Alternative Investments

2017 ◽  
Vol 6 (2) ◽  
pp. 169
Author(s):  
Ofer Arbaa ◽  
Eva Varon
Keyword(s):  
Asset Allocation ◽  
Mutual Fund ◽  
Market Timing ◽  
Future Market ◽  
Fund Managers ◽  
Portfolio Holdings ◽  
Early Return ◽  
Timing Ability ◽  
Asset Class ◽  
Timing Decisions

This paper investigates whether Israeli fund managers possess market-timing ability across asset classes over time, using 15 years of monthly data from the Israeli provident funds.  We apply three methodologies based on return based and portfolio holdings approaches. Most of the early return-based timing methods and the most recent portfolio holdings measures suggest that U.S. mutual fund managers do not possess equity timing ability. Our study is the first to test this evidence on multi- asset class provident funds in the Israeli market and compare the timing ability of fund managers in each asset class according to different approaches. We introduce an alternative holdings method that combine the asset allocation theory with that of market timing and use "excess policy" holdings data to predict future market returns.  In addition, previous studies mostly ignore the contribution of other instruments to timing decisions, which may cause any conclusions about managers' timing decisions to be incomplete. Hence, we test equity market timing with respect to all markets using a multiple market index model in the holdings approach. In line with previous research, our empirical results indicate significantly negative market timing in domestic equities according to all the measures used. On the other hand, provident fund managers on average seem to display some timing ability for government bonds.

scholarly journals Market Timing And Selectivity: An Empirical Investigation Into The Features Of Greek Mutual Fund Managers

2011 ◽  
Vol 18 (3) ◽  
Author(s):  
Nikolaos Philippas
Keyword(s):  
Empirical Evidence ◽  
Mutual Fund ◽  
Performance Index ◽  
Empirical Investigation ◽  
Market Timing ◽  
Font Size ◽  
Data Set ◽  
Mutual Fund Managers ◽  
Fund Managers ◽  
Market Index

<p class="MsoNormal" style="text-align: justify; margin: 0in 31.5pt 0pt 0.5in; mso-pagination: none;"><span style="mso-bidi-font-style: italic; mso-ansi-language: EN-US;"><span style="font-size: x-small;"><span style="font-family: Times New Roman;">&Tau;his paper is an empirical assessment of the performance of mutual fund managers in terms of &ldquo;market timing&rdquo; and &ldquo;selectivity&rdquo;, within the framework suggested by Treynor and Mazuy (1966) and Henriksson and Merton (1981). The relevant data set is a balanced panel of nineteen Greek managers, over a sixty-month period. Empirical evidence does not provide support for correct timing, irrespectively of how the returns of the market index are calculated. It is interesting to note that using the Total Performance Index reduces the ability of managers for selectivity. This result holds for both the models utilized in our study.</span></span></span></p>

Using VIX to Dynamically Hedge Portfolio Risk

GIS Business ◽  
1970 ◽  
Vol 13 (3) ◽  
pp. 15-22
Author(s):  
Richard Cloutier
Keyword(s):  
Asset Allocation ◽  
Market Timing ◽  
Investment Strategy ◽  
Market Risk ◽  
Portfolio Risk ◽  
Dynamic Hedging ◽  
Hedging Strategy ◽  
Tactical Asset Allocation ◽  
Asset Class ◽  
Timing Strategies

Many investors accept buy and hold as their long-term investment strategy. However, during periods of heightened risk, staying disciplined can be problematic. Alternatively, market timing appeals to our emotions but is very difficult to employ successfully. Between these two extremes lies tactical asset allocation, where limited variances are allowed to take advantage of market conditions. Dynamic hedging is a form of tactical asset allocation. Instead of relying on future predictions of asset class returns, dynamic hedging strives to reduce portfolio risk when market risk is elevated. This paper presents a dynamic hedging strategy developed to accomplish this goal. It uses VIXs normal trading range to assess market risk. When VIX trades above its normal trading range and the upper Bollinger band, the dynamic hedging strategy is applied. The result is that portfolio risk is lowered when market risk is extreme. The application of this strategy provides better returns, lower volatility, and better downside protection than a strategic buy and hold allocation. It also avoids the deployment problems associated with market timing strategies.

scholarly journals A tactical asset allocation strategy that exploits variations in VIX

2017 ◽  
Vol 14 (1) ◽  
pp. 27-34
Author(s):  
Richard Cloutier ◽  
Arsen Djatej ◽  
Dean Kiefer
Keyword(s):  
Asset Allocation ◽  
Market Timing ◽  
Allocation Strategy ◽  
Market Conditions ◽  
Volatility Index ◽  
Tactical Asset Allocation ◽  
Asset Classes ◽  
Strategic Allocation ◽  
Timing Strategies ◽  
Daily Returns

Buy and hold strategies make staying disciplined difficult for investors, especially given the variability of returns for different asset classes/strategies during divergent market conditions. Market timing strategies, on the other hand, present significant theoretical benefits, but in reality these benefits are difficult to obtain. Tactical asset allocation, where limited deviations from the strategic allocation are allowed permits the portfolio manager to take advantage of market conditions fits between these two extremes. The authors correlate daily returns for each of eighteen separate asset classes typically used in diversified institutional portfolios and daily closing values of the VIX (the ticker symbol for the Chicago Board Options Exchange Volatility Index). This information is used to select those classes whose returns are most responsive to the level of the VIX. Portfolio allocations for eight selected asset classes are revised depending on the level of the VIX at the daily close of the market. The portfolio is rebalanced on the business day following the day the VIX hits the trigger value. The VIX tactical allocation overlay yields an increase in return over the buy and hold portfolio of approximately 38 basis points. The authors conclude that the tactical asset allocation strategy based on the level of VIX provides a higher return than the neutral buy and hold allocation with a higher Sharpe ratio and lower volatility.

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