Pages 12-14
A regulated market is an organised, authorized, and supervised trading infrastructure, in which rules of admission, transparency, conduct and control are defined ex ante to guarantee efficient price formation, investor protection and stability of the financial system.
The regulated stock market reduces transaction costs, improves price discovery and facilitates the transfer of risk between operators with different horizons and preferences.
At the macro level, the ability of companies to raise risk capital increases and accelerates the reallocation of savings towards high productivity projects.
The European framework (MiFID/MiFIR, MAR, Prospectus Regulation, CSDR, EMIR) and national regulations define rules on pre/post-trade transparency, market abuse, admission to listing, clearing-settlement and continuous information obligations.
Consistency between primary sources, market regulations and supervisory practices is essential to reduce legal uncertainty and risk of regulatory arbitrage.
Trading venue with more stringent standards on admission of instruments, issuer obligations, transparency and governance. It is the typical venue for large caps and primary listings.
MTF: multilateral system with its own rules, generally more flexible on listing and requirements. OTF: venue organized mainly for non-equity instruments with greater discretion of the operator.
For the same security, the trading venue influences the depth of the book, spread, resilience and information credibility. Typically, more robust regulatory standards reduce the information risk premium.
Defines regulation, technical rules, segmentation, admission procedures and suspension/interruption mechanisms. Manages first-level surveillance of market operations.
Supervisory authorities oversee transparency, correct disclosure, and market integrity. They intervene on market abuse, lack of disclosure, violations of conduct and systemic critical issues.
CCP (clearing) manages counterparty risk via netting and margins; CSD (settlement/custody) ensures delivery of securities and monetary settlement. Post-trade robustness is central to market confidence.
Track record, capital structure, adequate capitalization and sustainability of the business model. The objective is to reduce the risk of admission of inadequately mature issuers.
Information prospectus, audited financial statements, governance structure consistent with best practices, safeguards internal control and reliable periodic reporting to the market.
Minimum free float thresholds and diffusion among investors are essential to ensure tradability, reduce ownership concentration and contain the risk of manipulation on thinly traded securities.
Includes information on strategy, risks, use of proceeds, shareholding structure, governance, disputes and historical performance. Complete disclosure reduces ex ante information asymmetry.
Periodic information (financial statements, half-yearly reports, guidance) and immediate price-sensitive disclosure. The timeliness and consistency of the information flow directly affects the volatility and cost of capital.
Less information opacity tends to reduce the adverse selection component of the bid-ask spread, improving liquidity and the valuation multiple recognized by the market.
Intermediaries must possess capital, organizational and technological requirements to participate in trading and post-trade, with ex ante controls on operational risk and regulatory compliance.
Best execution rules impose execution policies oriented towards the best overall result (price, cost, speed, probability of execution and settlement).
Chinese walls, governance of information flows and escalation procedures are necessary to avoid improper use of information and distortions in managing customer orders.
Microstructure determines how orders become prices. Rules on priorities, transparency, continuous auction, opening/closing auctions and interruption management affect allocative efficiency, stability and trading costs.
Orders are sorted by best price and, being equal, by entry time. The rule incentivizes price competition and predictability in execution.
Pre-auction, opening auction, continuous trading, any volatility auctions and closing auction. Each phase has different purposes: initial discovery, intraday liquidity, final stabilization.
Limit, market, stop, iceberg, conditional orders. The choice of order influences execution risk, market impact and probability of fill.
Measure the immediate transaction cost:
\[ Spread_{rel} = \frac{Ask-Bid}{(Ask+Bid)/2} \]
A lower spread generally indicates better liquidity and lower perceived information risk.
Summary activity indicator:
\[ Turnover\ Velocity = \frac{Annual\ Traded\ Volume}{Average\ Market\ Capitalization} \]
High speed signals a lively market, but should be read together with the quality of the order flow.
Measures the price change induced by the execution of large orders. High impact indicates a thin or unbalanced book and increases the implicit cost for institutional investors.
The central counterparty intervenes between buyer and seller, reducing bilateral risk. Manages initial margin, variation margin and default funds.
Netting reduces gross exposures and liquidity needs. The quality of the netting affects the cost operational performance of intermediaries and on resilience under stress conditions.
Rules on fail, penalties and buy-in (where applicable) encourage timely settlement and reduce risk of operational contagion along the post-trade chain.
Use of inside information to trade before public disclosure. It is among the most serious violations because it undermines trust and informational equality among participants.
Conduct that artificially alters prices/volumes (spoofing, layering, wash trades, marking the close). Algorithmic surveillance is fundamental to intercept anomalous patterns in real time.
Complete traceability of orders and operations allows forensic reconstruction of events and increases deterrence against abuses, improving the institutional quality of the market.
In the presence of rapid movements, the market can activate auctions to rebuild supply-demand balance and reduce the risk of disorderly pricing.
Predetermined thresholds temporarily halt trading in the event of extreme shocks, limiting feedback loops and panic trading.
System redundancy, business continuity plans and cyber controls are part of technical governance minimum for high reliability markets.
Market governance is not just regulatory compliance: it is a balance between allocative efficiency, investor protection, microstructural innovation and systemic resilience. Effective governance reduces the cost of capital for companies and increases the competitiveness of the financial center.
Operational functions and business owners: monitor risks on a day-by-day basis (execution, IT, data quality, commercial conduct).
Risk management and compliance: define frameworks, limits, monitoring and escalation towards top bodies.
Independent internal audit: checks the overall effectiveness of the system and robustness of the controls, with tracked and measurable remediation plans.
IPO number, post-listing retention, implicit trading cost and liquidity performance they are key indicators for evaluating the international competitiveness of the venue.
Greater transparency and better investor protection reduce the required risk premium, with a positive effect on market multiples and equity raising capacity.
More liquid markets reduce the liquidity discount in valuations and improve contestability of capital, encouraging long-term institutional investors.
High standards of governance and credible enforcement increase foreign trust, reducing the home bias of international investors.
Integrating qualitative regulatory analysis with quantitative evidence (spread, depth, fail rate, intraday volatility) allows a non-descriptive but causal assessment of market quality.
Good governance produces deeper, less fragile and more competitive markets, with simultaneous benefits for issuers, investors, and the overall stability of the financial system.
In substantial terms, CONSOB authorization is not a one-off act: it requires continuous monitoring of the organisational, technological and governance requirements to maintain the suitability of the venue.
The market requires intermediaries to have pre-trade and post-trade transparency, along with reporting obligations on operations and conduct consistent with best execution and integrity of trades.
The objective is to reduce information asymmetries and risk of manipulation, preserving the trust of retail and institutional investors.
Transparency also includes quality controls on market data distributed in real time: latency, flow integrity and consistency between execution venues and post-trade reporting.
In the second half of the nineties the transition to a private market-management model was consolidated, in a context of liberalization and reduction of the direct role of the State in the economy.
The privatizations of large groups (e.g. telecommunications, energy, credit, public industry) are consistent with objectives of efficiency, innovation, competition and public debt reduction.
Cross-border integration has increased technological scale, regulatory interoperability and access to a broader investor base, with effects on the international visibility of Italian issuers.
Development of managed markets and maximization of liquidity, transparency, competitiveness and efficiency. Operationally this means attracting issuers, expanding the investor base and increasing quality/volume of exchanges.
The balance between volume growth and execution quality is central: volume without microstructural quality can increase fragility, implicit spreads and reputational cost of the market.
Supervision of the proper conduct of trading, monitoring of market anomalies and activation of suspension/interruption procedures in case of disorderly conditions.
Definition of requirements and admission/permanence procedures for issuing companies and operators. Private investors access the market through authorized intermediaries with direct access.
Permanence on the market is conditional on maintaining the requirements: in the event of violations relevant are possible segment downgrades, suspensions or revocations of trading.
The markets managed are organized electronically, with a network of computers/terminals and protocols of standardized connectivity to guarantee continuity, controlled latency and traceability.
The quality of the platform (capacity, resilience, recovery time objective) is an integral part of governance: technical failures can compromise price integrity and trust in the market.
Only authorized individuals can operate directly. Private customers place orders through intermediaries who perform suitability, availability, and compliance checks.
In the presence of algorithmic orders, pre-trade filters (price, volume, kill-switch) are mandatory to contain operational errors and misalignments with risk policies.
They are executed at the best conditions available on the opposite side of the book. They offer more certainty of execution but less certainty on the final price.
They define the maximum price accepted for purchase and the minimum price accepted for sale. They increase price control but may remain unexecuted.
This hierarchy minimizes ambiguity in execution and reduces discretion, increasing predictability of the price formation process.
In pre-opening the orders accumulate and the system calculates the theoretical opening price. For blue chips and STAR the pre-auction is held in the morning, and closing can occur within a randomized interval to reduce manipulation at the fixing moment.
During validation, the theoretical price must respect deviation limits from the static price. At the opening, the system concludes contracts at the validated price.
In operational practice, the pre-auction can extend until around 9:00 with a random end in the last interval (e.g. 9:00:00-9:00:59), precisely to avoid manipulative timing strategies. During validation, operators cannot intervene on the book.
\[ P^{open} = \arg\max_{p}\;V(p)\quad \text{s.t.}\quad \min\;Imbalance(p) \]
Unexecuted limit orders: transferred to continuous. Unfulfilled unlimited orders: normally cancelled.
Continuously, contracts are concluded when orders become compatible, respecting price-time priority. Intermediaries can modify/cancel orders according to phase rules.
At closing: pre-closing, validation of the theoretical price, final fixing. Limit orders unexecuted can be transferred to the pre-opening of the following day.
The closing auction improves the significance of the final price of the session, reducing distortions by micro-volumes in the last seconds of continuous trading.
FOK is useful for avoiding unwanted partial executions on blocks; IOC favors execution speed over complete order fulfillment.
The correct use of time validity allows alignment of the execution strategy with the market phase (price discovery in auction vs immediate continuous execution).
Icebergs reduce signaling by the total size but can lose temporal priority on subsequent tranches, depending on the platform rules.
Dark venues reduce market impact on large orders thanks to less transparency pre-trade. They are used for anonymity and better execution quality in relevant blocks.
Benefits: lower signaling risk and lower expected slippage. Risks: less transparency, possible fragmentation of liquidity and complexity of best execution between multiple venues.
On complex instruments or large institutional orders, dark execution can be efficient, but requires continuous monitoring of price quality compared to lit markets.
Transaction reporting and post-trade publication of volumes/prices are required in several jurisdictions, with deferral rules to balance overall transparency and block-execution protection.
\[ P_{uff}=\frac{\sum_i P_i Q_i}{\sum_i Q_i} \]
In practice, the reference price can also be a weighted average of the last 10 minutes of continuous trading, according to the regulations applicable to the segment.
The profitability of a security can be linked to financial market indicators (rates, prices, stock/bond indices), with contractual rules for calculating the payout.
Real indicators: variables of the productive economy (goods, raw materials, services, inflation). Currency indicators: exchange rates between currencies or currency baskets. Mixed: joint combination of several parameters in the same remuneration formula.