GLOBAL RESEARCH ARCHIVE
Growth in connectors for AI data centres
Research evidence excerpt
Growth in connectors for AI data centres
Macquarie Equity Research Hirose Electric
Alpha Model Decomposition Key Quant Findings
The quant model currently holds a reasonably positive The Macquarie Alpha is decomposed into its sector and
view on Hirose Electric. The strongest style exposure is market relative factor & styles exposures (a higher/better
Quality, indicating this stock is likely to have a superior and percentile is coded in green, whilst lower in red).
more stable underlying earnings stream. The weakest style
exposure is Valuations, indicating this stock is over-priced relativePercentileto
in the market relative to its peers.
sectors market
Factors / Styles (/1234) (/1680) Core factors in definition
ALPHA 73% 79% Built from the styles below
Macquarie Alpha Model: Key rankings VALUE 53% 21% Book, CF, Yield, Earnings Multiples
The Macquarie Quant’s flagship Alpha model is a dynamic ANALYST 71% 61% Revisions (Earnings, Recommendations)
multi-factor model based on a staple of quant factors such MOMENTUM 94% 100% Price Momentum
as value, momentum, revisions, quality, and risk.
GROWTH 76% 72% EPS, Sales (Forecast, Historic)
Global Market (Country) Sector
Technology PROFITABILITY 88% 77% ROE, Margin, Asset Turnover
Whole Universe Japan Hardware & QUALITY 98% 98% Accruals, Earn Stability, Cash Conversion
Equipment
CAPITAL 43% 37% Investment/Capex, Net share issuance
Macquarie Alpha 3857/17948 345/1680 334/1234
Model LIQUIDITY 94% 94% Size, Turnover, Analyst Coverage
Fundamental 5733/17948 296/1680 330/1234 LOW RISK 54% 22% Beta, Volatility, Earn.Cert, Leverage (Consensus) *
TECHNICAL 58% 86% MACD, RSI, Bollinger, Williams R, etc
* based on Total Shareholder Return = Consensus Price target / Current Price
Factors driving the Alpha Model vs peers
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