Canadian investment conduct: discover, assess, explain and maintain
Canadian investment conduct: discover, assess, explain and maintain
Professional investment conduct requires connecting a client's circumstances with the advice, product and service actually provided. Begin by identifying the client, mandate, goals, horizon and financial situation. A signed form is evidence of a process, not proof that every material issue was understood or that an unsuitable recommendation becomes appropriate. Integrity requires accurate records even when a sale or timetable creates pressure to simplify them.
Client and product knowledge
Know-your-client information and product due diligence serve related but different functions. The adviser needs relevant client facts and a reasonable understanding of the product's structure, risks, costs and limitations. Risk tolerance is different from capacity to bear a loss. A recommendation should be assessed against the person's circumstances rather than a general claim that one asset class is suitable for everyone of the same age.
Conflicts and communication
Identify compensation, related products and other interests that could affect judgment. Disclosure alone is not a universal solution to every conflict. Explain fees, material risks and the limits of a recommendation clearly. A client instruction should be handled through the applicable framework rather than treated as permission to falsify records or ignore a responsibility. Confidential information is not available for unrelated personal use merely because the firm can access it.
Account maintenance and trading
Keep changes in circumstances, authority, instructions and account information traceable. A complaint, an unusual transaction and a material change in the client's circumstances call for different analysis and escalation. Trading, settlement and prohibited conduct need their relevant rules and facts. A favorable short-term return does not prove that the process was suitable or compliant.
Current course context
CPH course concepts remain useful, but CIRO introduced a new proficiency model for investment-dealer approved persons from January 2026, with specific transition provisions. This independent page does not describe CPH alone as a universal current registration route. Related Canadian investment and client-discovery questions support the conduct foundations without importing United States rules or implying identical assessment across credentials. Practical supervision, current registration requirements and the complete course examination remain separate.
Investment instruments, portfolios and measured performance
An investment analysis begins with the instrument's economic claim, its cash flows and its risks. Ordinary shares represent a residual ownership interest, while a conventional bond promises contractual payments subject to issuer default and its terms. A pooled fund gives exposure to its underlying holdings through its particular structure; it does not remove market, liquidity or operational risk. Identify who owes what, the relevant currency, timing, fees and restrictions before comparing a headline return. Do not assume that a familiar product name establishes identical legal rights across countries.
Expected portfolio return is a weighted combination of expected component returns under the stated model. A fictional portfolio with 60 percent in an asset expected to return 8 percent and 40 percent in one expected to return 3 percent has a weighted expected return of 6 percent. This is a forecast calculation, not a promise. Portfolio volatility also depends on covariances, not just a weighted average of individual standard deviations. Lower or negative correlations can reduce combined volatility, but correlations can change and diversification does not guarantee a profit or eliminate broad market risk. Different securities in the same concentrated sector may share important exposures.
Evaluate a bond through price, coupon, yield, maturity, credit quality and liquidity. A fixed coupon rate is not the same as yield to maturity. A conventional fixed-rate bond's price generally moves inversely with its required yield, holding promised cash flows and other factors fixed. Duration provides a local sensitivity approximation, with convexity and changes in spreads affecting the result. Default, embedded options and uncertain cash flows can complicate a simple duration model. A maturity comparison alone does not establish which actual product is suitable for a particular investor.
Valuation requires coherent assumptions. Dividend discount and discounted cash-flow models connect future flows with an appropriate discount rate. A constant-growth perpetuity requires the discount rate to exceed the assumed growth rate and depends heavily on those inputs. Comparative multiples require consistent earnings definitions, leverage, accounting and peer characteristics. A high multiple can reflect expectations, quality or overvaluation; it is not evidence of one interpretation by itself. Distinguish a market price from a model estimate and document the uncertainty rather than presenting a single value as certain.
Measure performance using an appropriate period, cash-flow convention and benchmark. Money-weighted and time-weighted returns answer different questions when investors add or withdraw funds. A comparison must include relevant fees and state whether amounts are nominal, real, gross or net. Risk-adjusted measures such as Sharpe ratios depend on the return distribution, reference rate and sample period. They cannot automatically rank every illiquid or asymmetric strategy. Rebalancing restores an intended allocation but can involve costs and does not guarantee gains. All examples in this bank are educational models. Current product-sale permissions, suitability law, taxes and actual portfolio recommendations are outside this common foundations chapter.
Market, credit, liquidity and model-risk reasoning
Financial risk concerns uncertain outcomes that affect objectives, resources or obligations. Define the exposure, horizon, unit of measurement and decision before choosing a metric. Market risk arises from changing prices, rates, spreads or exchange values; credit risk concerns default or deterioration; liquidity risk concerns meeting obligations or trading without excessive cost. Operational risk can arise from people, systems, processes and external events. These categories can interact, so a label is a starting point rather than a complete causal explanation.
A simple credit expected-loss model multiplies probability of default, loss given default and exposure at default when the definitions and horizon are consistent. In a fictional one-year example, probability 2 percent, exposure 1000 and loss severity 40 percent give expected loss 8. That average is not the maximum possible loss and does not establish the applicable accounting allowance or regulatory capital requirement. Recovery timing, collateral, dependence, changing exposures and economic conditions can require a richer model. Distinguish an expected loss from unexpected variation around it.
Value at Risk describes a loss quantile for a stated model, confidence level and horizon. A one-day 99 percent VaR of 10 does not say losses can never exceed 10 or specify how large tail losses might be. Expected shortfall examines losses beyond a specified quantile under its definition. Estimates depend on data, distributional assumptions, dependence and valuation methods. Historical observations do not guarantee that future extremes follow the same pattern. Stress tests explore specified adverse scenarios, which need not have assigned probabilities.
Liquidity analysis separates funding needs from the ability to sell an asset. Contractual and behavioral cash-flow timing can differ. An institution may face collateral calls, deposit withdrawals or unavailable refinancing at the same time that market prices weaken. Buffer assets can be encumbered, less liquid than expected or exposed to concentration. Avoid inferring resilience from a single balance-sheet ratio or applying an unsupported universal threshold. Scenario design should consider combined stresses and the practical feasibility of proposed responses.
Model governance includes purpose, data provenance, assumptions, validation, monitoring and accountable use. Backtesting compares predictions with outcomes using an appropriate rule, but passing one historical test does not establish permanent reliability. Training and test leakage can make a model appear more predictive than it is. A regression association is not automatically causal, and a fitted relationship may fail outside the observed range. Document limitations and evaluate independent evidence. Risk transfer can change who bears a loss without eliminating all residual, legal or counterparty exposure. These are educational risk foundations, not an assertion of current Basel, solvency or national investment requirements.