Investment process
Graian’s investment approach is based on a structured, repeatable process that combines top-down macro research with fundamental analysis of specific opportunities.
Stage 1: Macro Analysis
We start by looking at economic regimes across the main geographic regions. For many financial assets, the turning point of an economic cycle or inflation is often the single most important determinant of future returns. Within each economic regime we identify specific factors and assets likely to deliver excess returns and those to be avoided. Then we look at market-derived variables, such as asset valuations, investor sentiment and positioning.
The outcome of this stage is threefold:
- cross-asset allocations for multi-asset portfolios
- risk factor tilts for single-class strategies
- primary risk metrics, such as net exposure or duration
Read more
Top-down research is performed across the main regions (the US, the EU, UK, Japan and China) and asset classes. Its primary objectives are:
- to describe business and monetary cycles, identify economic regime shifts and assess their impact on factor returns;
- analyze market variables, such as asset valuations, investor sentiment and fund flows;
- identify financial assets and risk factors expected to outperform during specific regimes
For economic regime shift modeling, the team employs proprietary models mostly focusing on inflation and growth momentum. The team monitors potential regime transitions, as these typically drive changes in monetary policy, market leadership, and investor sentiment, which in turn affect cross-asset and factor positioning.
Substantial changes in business cycles often prompt monetary responses from central banks, aiming to achieve either stimulative or restrictive policy outcomes. Monetary policy changes could have a profound impact on many asset classes. The team evaluates likely direction of monetary policies seeking to enhance returns through appropriate positioning. The direction of business and monetary cycles is conducive to the outperformance of certain assets and the underperformance of others. Similarly, it affects the performance of credit and equity risk factors. The teams run quantitative models in credit and equity space to ensure that portfolio construction is in line with expected factor performance and to introduce risk factor tilts.
Finally, the team looks at market variables, such as asset valuations, risk sentiment, liquidity, investor positioning and fund flows. While these variables have lower informational value, they can amplify or dampen market reactions during regime transitions. The teams typically employ various scoring indicators to assess if the market is approaching extreme states that could lead to reversals or drawdowns.
Stage 2: Bottom-up research
At this stage the teams conduct in-depth research of various market segments, issuers and securities. This work is primarily driven by fundamental analysis of companies’ performance.
In credit strategies the research focuses on credit quality evolution, whereas in equity books the teams will pay particular attention to earnings and price momentum. The teams will also look at relative value opportunities between market segments or geographic regions.
The outcome of this stage is a pipeline of specific financial instruments with attractive expected returns in the current economic regime.
Read more
Bottom-up research is performed at the level of individual strategies, issuers and securities. At this stage the teams:
- screen broad universe of financial instruments to earmark those with desired risk/return characteristics and factor contributions;
- perform fundamental analysis of shortlisted companies and securities to understand the underlying business case, valuation upside and downside;
- select instruments with best fit for portfolio construction
The teams employ a variety of tools, such as quantitative market scanners and valuation models. The equity team is particularly focused on companies’ earnings momentum, while the credit team assesses credit metrics and likely credit evolution. Team members are regularly on calls or in the meetings with management as well as rating agencies and independent analysts to come up with all-round views.
The design of the bottom-up process ensures that the properties of the selected securities contribute positively to the factor tilts and momentum identified at the previous step.
Stage 3: Portfolio construction
At the portfolio construction stage the teams will adjust their portfolios combining top-down risk metrics and factor tilts defined at Stage 1 with single asset opportunities identified at Stage 2 with the aim to maximize portfolio expected return.
The outcome of this stage are ready to be deployed model portfolios with target risk-return characteristics.
Read more
Various optimization techniques are used for portfolio construction to ensure compliance of model portfolios with the primary risk metrics defined at Stage 1 as well as with specific investment constraints set for individual strategies.
Strategy guidelines and predefined portfolio risk limits are used as optimization constraints.
Stage 4: Risk management
Portfolio risk management is conducted on a daily basis. The teams will meet regularly to review strategy performance and risk metrics, market developments and news flow. In case of adverse market moves, the teams may adjust portfolios given that most positions could be liquidated promptly.
Read more
While risk management for all strategies is primarily centered around capital loss avoidance, for equity and macro books the teams may employ hard and conditional stop-loss limits to control market risk, whereas for fixed income portfolios the team mostly concentrates on credit event risks.
The outcome of this stage includes further portfolio adjustments, if necessary, along with risk reports for each strategy to ensure compliance with investment guidelines.
Investment process
Graian’s investment approach is based on a structured, repeatable process that combines top-down macro research with fundamental analysis of specific opportunities.
Stage 1: Macro Analysis
We start by looking at economic regimes across the main geographic regions. For many financial assets, the turning point of an economic cycle or inflation is often the single most important determinant of future returns. Within each economic regime we identify specific factors and assets likely to deliver excess returns and those to be avoided. Then we look at market-derived variables, such as asset valuations, investor sentiment and positioning.
The outcome of this stage is threefold:
- cross-asset allocations for multi-asset portfolios
- risk factor tilts for single-class strategies
- primary risk metrics, such as net exposure or duration
Read more
Top-down research is performed across the main regions (the US, the EU, UK, Japan and China) and asset classes. Its primary objectives are:
- to describe business and monetary cycles, identify economic regime shifts and assess their impact on factor returns;
- analyze market variables, such as asset valuations, investor sentiment and fund flows;
- identify financial assets and risk factors expected to outperform during specific regimes
For economic regime shift modeling, the team employs proprietary models mostly focusing on inflation and growth momentum. The team monitors potential regime transitions, as these typically drive changes in monetary policy, market leadership, and investor sentiment, which in turn affect cross-asset and factor positioning.
Substantial changes in business cycles often prompt monetary responses from central banks, aiming to achieve either stimulative or restrictive policy outcomes. Monetary policy changes could have a profound impact on many asset classes. The team evaluates likely direction of monetary policies seeking to enhance returns through appropriate positioning. The direction of business and monetary cycles is conducive to the outperformance of certain assets and the underperformance of others. Similarly, it affects the performance of credit and equity risk factors. The teams run quantitative models in credit and equity space to ensure that portfolio construction is in line with expected factor performance and to introduce risk factor tilts.
Finally, the team looks at market variables, such as asset valuations, risk sentiment, liquidity, investor positioning and fund flows. While these variables have lower informational value, they can amplify or dampen market reactions during regime transitions. The teams typically employ various scoring indicators to assess if the market is approaching extreme states that could lead to reversals or drawdowns.
Stage 2: Bottom-up research
At this stage the teams conduct in-depth research of various market segments, issuers and securities. This work is primarily driven by fundamental analysis of companies’ performance.
In credit strategies the research focuses on credit quality evolution, whereas in equity books the teams will pay particular attention to earnings and price momentum. The teams will also look at relative value opportunities between market segments or geographic regions.
The outcome of this stage is a pipeline of specific financial instruments with attractive expected returns in the current economic regime.
Read more
Bottom-up research is performed at the level of individual strategies, issuers and securities. At this stage the teams:
- screen broad universe of financial instruments to earmark those with desired risk/return characteristics and factor contributions;
- perform fundamental analysis of shortlisted companies and securities to understand the underlying business case, valuation upside and downside;
- select instruments with best fit for portfolio construction
The teams employ a variety of tools, such as quantitative market scanners and valuation models. The equity team is particularly focused on companies’ earnings momentum, while the credit team assesses credit metrics and likely credit evolution. Team members are regularly on calls or in the meetings with management as well as rating agencies and independent analysts to come up with all-round views.
The design of the bottom-up process ensures that the properties of the selected securities contribute positively to the factor tilts and momentum identified at the previous step.
Stage 3: Portfolio construction
At the portfolio construction stage the teams will adjust their portfolios combining top-down risk metrics and factor tilts defined at Stage 1 with single asset opportunities identified at Stage 2 with the aim to maximize portfolio expected return.
The outcome of this stage are ready to be deployed model portfolios with target risk-return characteristics.
Read more
Various optimization techniques are used for portfolio construction to ensure compliance of model portfolios with the primary risk metrics defined at Stage 1 as well as with specific investment constraints set for individual strategies.
Strategy guidelines and predefined portfolio risk limits are used as optimization constraints.
Stage 4: Risk management
Portfolio risk management is conducted on a daily basis. The teams will meet regularly to review strategy performance and risk metrics, market developments and news flow. In case of adverse market moves, the teams may adjust portfolios given that most positions could be liquidated promptly.
Read more
While risk management for all strategies is primarily centered around capital loss avoidance, for equity and macro books the teams may employ hard and conditional stop-loss limits to control market risk, whereas for fixed income portfolios the team mostly concentrates on credit event risks.
The outcome of this stage includes further portfolio adjustments, if necessary, along with risk reports for each strategy to ensure compliance with investment guidelines.