投资策略

我们提供宏观投资策略引导

随着全球投资环境复杂化,投资产品丰富化,AimStar将定期制定并提供投资策略指引。包括对宏观经济进行研究,分析投资机会,并对投资市场和战略方向提出建议。

01

定期投资研讨会

AimStar定期投资研讨会会定期讨论投资策略,以及如何最大化投资回报,这一般包括:

  • 各国家、地区及全球政治及经济因素
  • 各类经济数据,包括通货膨胀、就业、贸易、汇率等因素
  • 风险管理策略
  • 各类别资产短期以及中长期投资期望
  • 新型金融工具产品研讨

02

AimStar 行业研究报告

AimStar根据现在的经济情况和投资市场,定期对常见行业进行全面分析。投资市场因其规模和复杂程度,分为多个行业和板块,随着全球经济发展,板块和行业数量也是不断变化的。分析内容主要包括:

  • 行业发展趋势,竞争状况,盈利能力,财务状况和管理团队等因素。
  • 结合市场数据,价格,成交量等因素,预测市场趋势和未来价格变化。

03

多因子资产配置组合

AimStar根据客户的不同投资目标和风险承受能力,在通用的三因子投资模型的基础上,进一步开发出多因子模型,以科学的方式制定标准化的资产配置方案。*

  • 动量因子
  • 价值因子
  • 红利因子
  • 低波动因子
  • 规模因子
  • 质量因子

*投资单个因子模型风险较大,AimStar会针对各因子之间的不同周期表现,轮动式做分散化配置,降低组合波动率,获取长期回报

04

自动化资产交易配置调整

AimStar的资产交易配置是使用自动化资产配置调整和交易的过程。这种方法可以帮助投资者节省时间和减少决策过程中的偏差。

自动化资产组合再平衡交易是我们在均值方差类型框架中研究最优投资组合再平衡的一种算法,设定投资组合资产比例,并设置规则维护投资组合平衡,进行投资组合的动态重新调整。在自动化交易过程中,我们同时考虑多个变量因素,设定不同阈值,监控各资产组合比例是否偏离目标。通过自动化配置调整,可以帮助客户:

  • 保持资产多样化
  • 风险控制
  • 减少交易费用
  • 税务优化
01

Regular Investment Committee’s meeting

In meetings, AimStar’s Investment Committee discusses:

  • Investment strategies to manage risk and return
  • Economic factors such as inflation, employment, and trade
  • Risk management strategies
  • Investment expectations for all asset classes
  • Research on new financial instruments and products.
02

AimStar Investment Industry Research

AimStar regularly analyzes industries and sectors, considering factors such as:

  • Industry trends, competition, profitability, and financial position
  • Market data, prices, and volumes to forecast trends and price changes

The investment market is complex and divided into multiple industries and sectors that may change over time.

03

Multi-Factor Asset Allocation Investment Model

AimStar creates a multi-factor investment model to standardize asset allocation based on clients’ investment objectives and risk tolerances. Factors include momentum, value, dividend, low volatility, scale, and quality. The portfolio is diversified by rotating the performance of each factor to achieve long-term growth and reduce volatility.

04

Automated Asset Allocation Rebalance

AimStar uses an automated asset allocation system to rebalance portfolios, reducing decision-making biases and saving investors time. During trading, multiple variable factors are considered, and different thresholds are set to maintain balance and control risk. Automated allocation adjustments help maintain asset diversification, reduce transaction costs, and optimize tax.

Our Investment Strategy & Planning

AimStar’s Investment Committee’s Meeting will regularly discuss investment strategies and how to manage the investment risk and return, which generally include

  • Various national, regional, and global political and economic factors
  • Various economic data, including inflation, employment, trade, exchange rates, and other factors
  • Risk management strategies
  • Short, medium, and long-term investment expectations across all asset classes
  • Research on new financial instruments and products

AimStar regularly conducts comprehensive analyses of common industries based on current economic conditions and the investment market. Due to the size and complexity, the investment market is divided into multiple industries and sectors. As the global economy develops, the number of sectors and industries is constantly changing.

The analysis mainly includes

  • Factors such as industry trends, competition, profitability, financial position and management team
  • Combining market data, prices, and volumes to forecast market trends and future price changes.

Based on client’s different investment objectives and risk tolerances. AimStar develops a multi-factor investment model to standardize asset allocation in a scientific way. *

The factor includes:

  • Momentum factor
  • Value Factor
  • Dividend factor
  • Low volatility factor
  • Scale factor
  • Quality factor

*AimStar diversifies its portfolio by rotating the performance of each factor to reduce the volatility of the portfolio and obtain long-term growth.

AimStar’s asset allocation rebalance is a process of adjusting and trading using automated asset allocation system. This approach helps investors save time and reduce bias in the decision-making process.

Automated portfolio rebalancing trading is an algorithm where we study optimal portfolio rebalancing in a mean-variance type framework, set portfolio asset ratios, and set rules to maintain portfolio balance and perform dynamic portfolio rebalancing.

During the automated trading process, we consider several variable factors at the same time, set different thresholds, and monitor whether each asset portfolio ratio deviates from the target. By automating allocation adjustments, we can help clients to.

  • Save time
  • Maintain asset diversification
  • Control risk
  • Reduce transaction costs
  • Tax optimization

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