Economic Benefits of Derivatives for Long Term Investments-Equity Linked Securities

2019 ◽  
Vol 27 (2) ◽  
pp. 211-252
Author(s):  
Byung Jin Kang
Keyword(s):  
Risk Aversion ◽  
Decision Rules ◽  
Economic Benefits ◽  
Optimal Portfolio ◽  
Investment Horizon ◽  
Risky Assets ◽  
Knock Out ◽  
Medium Level ◽  
Low Degrees

In this paper, we examined the economic benefits of derivatives in the aspect of investment assets. Our study differs from previous studies in that it analyzed the differences in the economic benefits of derivatives between for short term investors and for long term investors, and focused on the equity linked securities (ELS) rather than plain vanilla derivatives. We found the following results from the analysis over 1 to 20 years of investment horizons for four different types of equity linked securities, including ‘Auto-callable ELS’, ‘Knock-out ELS’, ‘Digital ELS’ and ‘Reverse Convertible ELS.’ First, equity linked securities contribute to improving the performance of the optimal portfolio for most investors, except for some investors who have extremely low degrees of risk aversion. Second, these economic benefits of equity linked securities are consistently observed regardless of investment horizon. Third, investment demand for equity linked securities is higher for investors with a medium-level of risk aversion rather than for aggressive or conservative investors. In addition, equity linked securities are mainly used as substitutes for risk-free bonds rather than risky assets (i.e., stocks). Finally, most of our results are still valid even when different market environments are assumed or alternative decision rules are used to derive investors’ optimal portfolio.

scholarly journals Optimal Risk Budgeting under a Finite Investment Horizon

Risks ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 86
Author(s):  
Marcos López de Prado ◽  
Ralph Vince ◽  
Qiji Jim Zhu
Keyword(s):  
Quantitative Methods ◽  
Optimal Portfolio ◽  
Investment Horizon ◽  
Risk Averse ◽  
Growth Optimal Portfolio ◽  
Risk Budgeting ◽  
Risk Parity ◽  
Risk Neutral ◽  
Mean Variance

The Growth-Optimal Portfolio (GOP) theory determines the path of bet sizes that maximize long-term wealth. This multi-horizon goal makes it more appealing among practitioners than myopic approaches, like Markowitz’s mean-variance or risk parity. The GOP literature typically considers risk-neutral investors with an infinite investment horizon. In this paper, we compute the optimal bet sizes in the more realistic setting of risk-averse investors with finite investment horizons. We find that, under this more realistic setting, the optimal bet sizes are considerably smaller than previously suggested by the GOP literature. We also develop quantitative methods for determining the risk-adjusted growth allocations (or risk budgeting) for a given finite investment horizon.

FAIR PRICE AND TRADING PRICE: AN ABM APPROACH WITH ORDER-PLACEMENT STRATEGY AND MISUNDERSTANDING OF FUNDAMENTAL VALUE

2015 ◽  
Vol 18 (05n06) ◽  
pp. 1550024
Author(s):  
VIVIEN LESPAGNOL ◽  
JULIETTE ROUCHIER
Keyword(s):  
Risk Aversion ◽  
Absolute Risk ◽  
Spot Price ◽  
Investment Horizon ◽  
Fair Price ◽  
Time Step ◽  
Risky Assets ◽  
Belief Perseverance ◽  
Call Auction ◽  
Fundamental Value

This paper studies the effect of investor’s bounded rationality on market dynamics. In a call auction market, we consider a few-types model where two risky assets are traded. Agents differ by their behavior, knowledge, risk aversion and investment horizon. The investor’s demand is defined by a utility maximization under constant absolute risk aversion (CARA). Relaxing the assumption of perfect knowledge of fundamentals enables to identify two components in a bubble. The first one comes from the unperceived fundamental changes due to trader’s belief perseverance. The second one is generated by chartist behavior. In all simulations, speculators make the market less efficient and more volatile. They also increase the maximum amount of assets exchanged in the most liquid time step. However, our model does not show rising average volatility on long term. Concerning the fundamentalists, the belief perseverance has a stabilization impact on the spot price. The closer the anchor is to the true fundamental value, the more efficient the market is, because the prices change smoothly.

scholarly journals Robust hedging in incomplete markets

2018 ◽  
Vol 18 (3) ◽  
pp. 473-493 ◽  
Author(s):  
SALLY SHEN ◽  
ANTOON PELSSER ◽  
PETER SCHOTMAN
Keyword(s):  
Incomplete Markets ◽  
Pension Fund ◽  
Model Misspecification ◽  
Risk Exposure ◽  
Investment Horizon ◽  
Case Scenario ◽  
Worst Case ◽  
Risky Assets ◽  
Substantial Risk

AbstractWe considered a pension fund that needs to hedge uncertain long-term liabilities. We modeled the pension fund as a robust investor facing an incomplete market and fearing model uncertainty for the evolution of its liabilities. The robust agent is assumed to minimize the shortfall between the assets and liabilities under an endogenous worst-case scenario by means of solving a min–max robust optimization problem. When the funding ratio is low, robustness reduces the demand for risky assets. However, cherishing the hope of covering the liabilities, a substantial risk exposure is still optimal. A longer investment horizon or a higher funding ratio weakens the investor's fear of model misspecification. If the expected equity return is overestimated, the initial capital requirement for hedging can be decreased by following the robust strategy.

Do lump-sum investing strategies really outperform dollar-cost averaging strategies?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Richard Lu ◽  
Vu Tran Hoang ◽  
Wing-Keung Wong
Keyword(s):  
High Risk ◽  
Asset Price ◽  
Trading Strategy ◽  
Performance Measure ◽  
Investment Horizon ◽  
Risky Assets ◽  
Content Type ◽  
Holding Period ◽  
Lump Sum

Purpose The literature has demonstrated that lump-sum (LS) outperforms dollar-cost averaging (DCA) in uptrend markets while DCA outperforms LS only when the asset price is mean-reverted or downtrend. To bridge the gap in the literature, this study aims to use both Sharpe ratio (SR) and economic performance measure (EPM) to compare the performance of DCA and LS under both accumulative and disaccumulative approaches when the asset price is simulated to be uptrend. Design/methodology/approach This study uses both disaccumulative and accumulative approaches to compare DCA with LS and uses both SR and EPM to evaluate their performance when the asset price is simulated to be uptrend. Instead of using the annualized returns that are commonly used by other DCA studies, we compute the holding-period returns in the comparison in this paper. Findings The simulation shows that no matter which approach is used, DCA outperforms LS in nearly all the cases in the less uptrend markets while DCA still performs better than LS in many cases of the uptrend markets, especially when the market is more volatile and investment horizon is long, regardless which approach the authors used. The authors also find more evidence supporting DCA over LS by using EPM, which is more suitable in the analysis because the returns generated by DCA are positive skewed and flat-tailed that are ignored when SR is used. Research limitations/implications The authors conclude that DCA is a better trading strategy than LS for investment even in the uptrend market, especially on high risky assets. Practical implications Investors could consider choosing DCA instead of LS as their trading strategy, especially when they prefer long term investment and investing in high-risk assets. Social implications Fund managers could consider recommending DCA to their customers, especially when they prefer long term investment and investing in high-risk assets. Originality/value This is the own study and, as far as the authors know, this is the first study in the literature uses both SR and EPM to compare the performance of DCA and LS under both accumulative and disaccumulative approaches when the asset price is simulated to be uptrend.

scholarly journals Evaluation Period and Agency Problem in Outsourced Chief Investment Officer (OCIO)

2020 ◽  
Vol 28 (1) ◽  
pp. 135-157
Author(s):  
Jun Ho Shin ◽  
Dongyoup Lee
Keyword(s):  
Portfolio Choice ◽  
Agency Problem ◽  
Investment Horizon ◽  
Investment Performance ◽  
Evaluation Period ◽  
Risky Assets ◽  
Fund Managers ◽  
Liability Management ◽  
Portfolio Weight

This article investigates the effect of the performance evaluation period on the long-term investment portfolio choice and the agency problem of outsourced investments. Though investors with the prospect utility are required to raise the portfolio weight on risky assets such as stocks for a long investment horizon, institutional investors and professional fund managers cannot help lowering the portfolio weight on risky assets to minimize the loss and to avoid disappointing clients with a short evaluation period. We find empirical evidence in the Korean capital market that stocks and bonds are indifferent to investors with the prospect utility for an evaluation period with 16 months and the optimal portfolio weight of stocks and bonds is 30% to 70%. Therefore there exists the agency problem between investors (principal) and managers (agent) due to frequent performance evaluations, which is able to explain current excessive investment in fixed income markets of most national pension funds. Our result implies that we need to consider extending the evaluation period of the investment performance to achieve the goal of asset and liability management (ALM) of national long-term funds in this low-interest-rate environment.

Enhancing community welfare through improved water quality: a case for applying staggered pollution charges in the river Musi sub-basin of Andhra Pradesh, India

Water Policy ◽  
2005 ◽  
Vol 7 (5) ◽  
pp. 469-483
Author(s):  
Tishya Chatterjee
Keyword(s):  
Andhra Pradesh ◽  
Relevant Literature ◽  
Pollution Prevention ◽  
Economic Benefits ◽  
Environmental Damage ◽  
Marginal Costs ◽  
Community Acceptance ◽  
Level Data ◽  
Over Time

In conditions of severe water-pollution and dormant community acceptance of accumulating environmental damage, the regulator's role goes beyond pollution prevention and more towards remediation and solutions based on the community's long-term expectations of economic benefits from clean water. This paper suggests a method to enable these benefits to become perceptible progressively, through participatory clean-up operations, supported by staggered pollution charges. It analyses the relevant literature on pollution prevention and applies a cost-based “willingness to pay” model, using primary basin-level data of total marginal costs. It develops a replicable demand-side approach imposing charge-standard targets over time in urban-industrial basins of developing countries.

DYNAMIC ASSET ALLOCATION FOR TARGET DATE FUNDS UNDER THE BENCHMARK APPROACH

2021 ◽  
pp. 1-26
Author(s):  
Jin Sun ◽  
Dan Zhu ◽  
Eckhard Platen
Keyword(s):  
Asset Allocation ◽  
Dynamic Asset Allocation ◽  
Growth Optimal Portfolio ◽  
Risky Assets ◽  
Target Date ◽  
Target Date Funds ◽  
Asset Allocations ◽  
Investment Choices ◽  
Glide Paths

ABSTRACT Target date funds (TDFs) are becoming increasingly popular investment choices among investors with long-term prospects. Examples include members of superannuation funds seeking to save for retirement at a given age. TDFs provide efficient risk exposures to a diversified range of asset classes that dynamically match the risk profile of the investment payoff as the investors age. This is often achieved by making increasingly conservative asset allocations over time as the retirement date approaches. Such dynamically evolving allocation strategies for TDFs are often referred to as glide paths. We propose a systematic approach to the design of optimal TDF glide paths implied by retirement dates and risk preferences and construct the corresponding dynamic asset allocation strategy that delivers the optimal payoffs at minimal costs. The TDF strategies we propose are dynamic portfolios consisting of units of the growth-optimal portfolio (GP) and the risk-free asset. Here, the GP is often approximated by a well-diversified index of multiple risky assets. We backtest the TDF strategies with the historical returns of the S&P500 total return index serving as the GP approximation.

scholarly journals Light a lamp and look at the stock market

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Radeef Chundakkadan
Keyword(s):  
Stock Market ◽  
Financial Distress ◽  
Investor Sentiment ◽  
Downside Risk ◽  
Bond Yields ◽  
Risky Assets ◽  
Market Participants ◽  
Market Return ◽  
The Impact

AbstractIn this study, we investigate the impact of the light-a-lamp event that occurred in India during the COVID-19 lockdown. This event happened across the country, and millions of people participated in it. We link this event to the stock market through investor sentiment and misattribution bias. We find a 9% hike in the market return on the post-event day. The effect is heterogeneous in terms of beta, downside risk, volatility, and financial distress. We also find an increase (decrease) in long-term bond yields (price), which together suggests that market participants demanded risky assets in the post-event day.

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