Derivatives and Reporting Regulations

Derivatives and Reporting Regulations

Using derivatives to manage risk sounds straightforward. You identify exposure, execute a hedge, and move on.

Regulators had a different idea.

After the financial crisis, derivatives became heavily regulated. Not because corporates were the main problem, but because the system as a whole needed more transparency and control.

Now, if treasury uses derivatives, it also deals with reporting, documentation, and compliance requirements that sit alongside the financial decision.

Why Derivatives Are Regulated

Derivatives can:

  • Create large exposures 
  • Be complex and opaque 
  • Connect multiple financial institutions 

Regulators introduced frameworks to:

  • Increase transparency 
  • Reduce systemic risk 
  • Improve oversight of trading activity 

For treasury, this means that hedging is no longer just about economics. It’s also about compliance.

Key Regulatory Frameworks

Treasury is typically impacted by regulations such as:

  • EMIR (European Market Infrastructure Regulation)
    Governs reporting, clearing, and risk mitigation for derivatives in Europe 
  • Dodd-Frank (US)
    Similar objectives in the United States 
  • Other local regulations
    Depending on where the company operates 

Even if a company is not a financial institution, it can still fall under these frameworks when using derivatives.

Trade Reporting Requirements

One of the main obligations is trade reporting.

Treasury must:

  • Report derivative transactions to trade repositories 
  • Include detailed information on each trade 
  • Ensure accuracy and timeliness 

This applies to:

  • New trades 
  • Modifications 
  • Terminations 

Reporting is not optional. And errors can lead to regulatory scrutiny.

Clearing and Thresholds

Some derivatives may need to be centrally cleared, depending on:

  • Type of instrument 
  • Volume of activity 
  • Regulatory thresholds 

Treasury needs to monitor:

  • Whether thresholds are approached or exceeded 
  • Whether clearing obligations apply 

For many corporates, exemptions exist. But they still need to be assessed and documented.

Risk Mitigation Requirements

Even when clearing is not required, regulators impose:

  • Timely confirmation of trades 
  • Portfolio reconciliation with counterparties 
  • Dispute resolution processes 
  • Valuation and margining requirements 

These add operational steps to what would otherwise be a straightforward hedging activity.

Documentation and Legal Agreements

Derivatives require:

  • ISDA agreements 
  • Credit Support Annexes (CSA) 
  • Internal documentation for policies and approvals 

Regulation increases the importance of:

  • Proper documentation 
  • Consistent processes 
  • Audit trails 

Missing or incomplete documentation can create both compliance and operational risks.

Impact on Treasury Processes

Derivatives regulation affects:

  • Trade execution workflows 
  • Data management and reporting 
  • Counterparty interactions 
  • Internal controls and governance 

Treasury needs to ensure that:

  • Systems can capture required data 
  • Processes support reporting timelines 
  • Controls are in place 

This turns hedging into a more structured, process-driven activity.

Data and System Requirements

Reporting requires:

  • Accurate trade data 
  • Consistent identifiers 
  • Integration between systems 

Challenges include:

  • Data reconciliation between internal systems and trade repositories 
  • Managing updates and lifecycle events 
  • Ensuring data completeness 

Again, data quality becomes critical.

Where It Goes Wrong

Some familiar issues:

  • Incomplete or inaccurate reporting 
  • Lack of clarity on regulatory obligations 
  • Poor coordination between treasury, legal, and compliance 
  • Manual processes increasing error risk 
  • Underestimating ongoing effort 

Most problems are not about understanding the regulation. They’re about implementing it consistently.

Treasury’s Role

Treasury ensures that:

  • Derivative activities comply with regulations 
  • Reporting obligations are met 
  • Processes are structured and controlled 

It works with:

  • Legal teams 
  • Compliance functions 
  • External advisors 

Because in treasury, hedging is no longer just about managing risk.

It’s also about proving that you did it properly.



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Introduction to Corporate Treasury

Corporate treasury is one of those functions that quietly sits in the background of a company, until something goes wrong. When cash is tight, markets are volatile, or funding suddenly becomes an issue, treasury moves from invisible to critical very quickly.

At its core, corporate treasury is responsible for managing a company’s financial resources. That includes cash, liquidity, funding, and financial risks. It ensures the company can meet its obligations, operate smoothly, and support its strategic ambitions without running into financial trouble.

That sounds straightforward. It isn’t.

More Than Just Managing Cash

Treasury is often reduced to “managing cash.” Technically correct, but about as complete as saying a pilot “operates controls.”

In reality, treasury sits at the centre of financial decision-making. It connects daily operations with long-term strategy. It translates business activity into cash flow. It ensures that growth plans are financially sustainable.

Treasury answers questions like:

  • Do we have enough cash to operate and invest? 
  • Where is that cash, and can we access it when needed? 
  • How exposed are we to currency or interest rate movements? 
  • How should we finance our activities efficiently? 

These are not theoretical questions. They directly impact how a business performs.

The Position of Treasury in an Organisation

Treasury operates between multiple stakeholders.

Internally, it works with:

  • Finance teams, including FP&A and accounting 
  • Operations and procurement 
  • Senior management and the CFO 

Externally, it interacts with:

  • Banks and financial institutions 
  • Investors and lenders 
  • Regulators and auditors 

This positioning makes treasury a connector function. It brings together information from across the organisation and translates it into financial insight and action.

From Back Office to Strategic Function

Historically, treasury was seen as a back-office function. Focused on payments, bank accounts, and short-term liquidity.

That role has evolved.

Today, treasury is expected to:

  • Support strategic decisions 
  • Provide insight into financial risks 
  • Optimise funding structures 
  • Improve cash efficiency across the business 

In many organisations, treasury now plays a key role in enabling growth, managing uncertainty, and supporting long-term value creation.

Not everywhere, though. Some companies are still catching up.

The Complexity Behind the Role

Modern treasury operates in a complex environment:

  • Multiple currencies and international operations 
  • Volatile financial markets 
  • Increasing regulatory requirements 
  • Rapid technological change 

Managing cash across different countries, dealing with fluctuating exchange rates, ensuring compliance, and maintaining control over financial processes is not trivial.

It requires:

  • Strong systems and data 
  • Clear processes 
  • Continuous coordination with other departments 

And a certain tolerance for things not always going according to plan.

Why Treasury Matters

Treasury does not generate revenue directly. That often leads to it being underestimated.

But its impact is significant:

  • Poor liquidity management can disrupt operations 
  • Weak risk management can erode margins 
  • Inefficient structures can increase costs 
  • Lack of planning can delay strategic initiatives 

On the other hand, a strong treasury function:

  • Ensures stability 
  • Reduces costs 
  • Supports growth 
  • Improves decision-making 

It doesn’t just protect the business. It enables it.

Treasury in Practice

In practice, treasury is a mix of:

  • Operational tasks, such as payments and cash positioning 
  • Analytical work, such as forecasting and risk assessment 
  • Strategic involvement, such as funding and corporate planning 

No two days are exactly the same.

One moment you’re reviewing liquidity. The next, you’re discussing financing options. Then you’re dealing with a bank, fixing a data issue, or explaining why a forecast changed.

It’s structured, but never static.

Final Thought

Corporate treasury is often overlooked because it works best when nothing goes wrong.

But that’s exactly the point.

It ensures that the financial side of the business runs smoothly, even when everything else is changing.

Not bad for a function most people don’t actively choose, but tend to stay in once they understand it.



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The Future of Treasury Careers

Treasury is evolving. Slowly in some areas, rapidly in others.

The core responsibilities remain the same, cash, risk, funding, control. But how those responsibilities are executed is changing.

Technology, data, regulation, and business expectations are all reshaping the role. Which means treasury careers are changing with it.

From Operational to Strategic

The direction is clear.

Less time spent on:

  • Manual processes 
  • Data collection 
  • Reconciliation 

More time spent on:

  • Analysis 
  • Decision-making 
  • Strategic support 

Automation and integration are gradually removing operational workload. Not completely, but enough to shift focus.

Treasury is moving from execution to influence.

The Rise of Data and Analytics

Data is becoming central.

Future treasury professionals need to:

  • Understand data structures 
  • Work with analytics tools 
  • Interpret large data sets 

It’s no longer enough to produce reports.

You need to:

  • Explain what the data means 
  • Identify trends 
  • Support decisions 

Which requires a different skill set than traditional operational roles.

Technology as a Core Competency

Technology is no longer optional.

Treasury professionals need to be comfortable with:

  • TMS platforms 
  • ERP systems 
  • Bank connectivity solutions 
  • Automation tools 

Not as developers, but as users who understand:

  • How systems interact 
  • What data flows look like 
  • Where issues can arise 

Because technology increasingly shapes how treasury operates.

Automation and AI Impact

Automation will continue to:

  • Reduce manual work 
  • Improve efficiency 
  • Increase consistency 

AI will:

  • Support forecasting 
  • Enhance data analysis 
  • Improve fraud detection 

But neither will replace treasury professionals.

They will:

  • Change the nature of work 
  • Require new skills 
  • Shift focus towards higher-value activities 

The repetitive work goes first. The thinking stays.

Increased Strategic Involvement

Treasury is becoming more involved in:

  • Corporate strategy 
  • Investment decisions 
  • Risk planning 
  • M&A activity 

This requires:

  • Broader business understanding 
  • Strong communication skills 
  • Ability to influence decisions 

The role becomes less technical in isolation and more integrated into the business.

Regulatory Complexity

Regulation is not going away.

It will:

  • Increase 
  • Evolve 
  • Require continuous attention 

Treasury professionals need to:

  • Stay informed 
  • Adapt processes 
  • Ensure compliance 

Which adds another layer of complexity to the role.

Globalisation and Complexity

Companies continue to:

  • Expand internationally 
  • Operate across multiple currencies 
  • Deal with diverse regulations 

Treasury needs to manage:

  • Cross-border liquidity 
  • FX exposure 
  • Local banking structures 

Global complexity will continue to shape treasury roles.

New Career Opportunities

The evolution of treasury creates new roles:

  • Treasury data and analytics specialists 
  • Treasury technology experts 
  • Transformation and project leads 
  • Risk and compliance specialists 

The traditional path still exists, but it’s expanding.

The Human Factor Remains

Despite all the technology, treasury remains a people-driven function.

Professionals need to:

  • Communicate effectively 
  • Manage stakeholders 
  • Make decisions under uncertainty 

Technology supports. People decide.

Where Expectations Go Wrong

Some common misconceptions:

  • Technology will fully automate treasury 
  • AI will replace decision-making 
  • Operational roles will disappear completely 

Reality:

  • Complexity remains 
  • Exceptions always exist 
  • Human judgment is still required 

The role changes. It doesn’t disappear.

Treasury Careers Going Forward

Future treasury professionals will need:

  • Strong financial understanding 
  • Data and system awareness 
  • Analytical thinking 
  • Communication and influence 

A broader skill set than before.

Which makes the role more interesting. And slightly more demanding.

Treasury’s Direction

Treasury is becoming:

  • More data-driven 
  • More technology-enabled 
  • More strategically involved 

It’s not a revolution. It’s an evolution.

Gradual, sometimes messy, but clearly moving in one direction.

And for people in treasury, that means one thing.

Standing still is not really an option anymore.



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The Role of Automation and AI in Treasury

Automation and AI are often presented as the future of treasury. In practice, they’re already here, just not always in the smooth, magical way vendors like to suggest.

At their core, both aim to reduce manual work, improve accuracy, and support better decision-making. The difference is that automation follows rules, while AI tries to learn patterns.

Both are useful. Neither replaces thinking.

What Automation in Treasury Actually Means

Automation is about removing repetitive, rule-based tasks.

Typical examples:

  • Importing and processing bank statements 
  • Matching transactions for reconciliation 
  • Executing payment files 
  • Updating cash positions 
  • Generating standard reports 

These are tasks that:

  • Follow predictable steps 
  • Require consistency 
  • Are prone to human error when done manually 

Automation handles them faster and with fewer mistakes.

Assuming it’s set up properly. Which is where the fun begins.

Benefits of Automation

Done well, automation delivers:

  • Reduced manual effort 
  • Fewer operational errors 
  • Faster processing times 
  • More consistent outputs 

Which leads to:

  • Better control 
  • Improved efficiency 
  • More time for analysis and decision-making 

At least in theory. In practice, treasury often reinvests that time into fixing other issues. Still useful.

Robotic Process Automation (RPA)

RPA sits somewhere between manual work and full system integration.

It mimics human actions:

  • Clicking through systems 
  • Extracting data 
  • Moving information between platforms 

It’s useful when:

  • Systems are not fully integrated 
  • Quick solutions are needed 
  • Processes are stable but manual 

It’s less useful when:

  • Processes frequently change 
  • Data is inconsistent 

Because then your “robot” breaks and someone has to fix it. Usually quickly.

AI in Treasury: What It Actually Does

AI goes beyond rules and tries to identify patterns in data.

Use cases include:

  • Cash flow forecasting
    Improving predictions based on historical patterns 
  • Anomaly detection
    Identifying unusual transactions or potential fraud 
  • Data classification
    Categorising transactions automatically 
  • Forecast variance analysis
    Highlighting where and why forecasts deviate 

AI doesn’t magically know the future. It works with the data it has.

Good data, useful insights
Bad data, more sophisticated confusion

Automation vs AI

It helps to keep expectations realistic:

  • Automation
    Rule-based, predictable, stable
    Best for repetitive operational tasks 
  • AI
    Data-driven, adaptive, probabilistic
    Best for analysis, prediction, and pattern recognition 

Most treasury functions start with automation. AI comes later, once data and processes are mature enough.

Skipping that order usually leads to disappointment.

The Data Dependency

Both automation and AI rely heavily on data.

They need:

  • Consistent formats 
  • Clean inputs 
  • Reliable sources 

If data is:

  • Incomplete 
  • Inconsistent 
  • Delayed 

Then:

  • Automation fails or produces errors 
  • AI produces unreliable outputs 

Technology doesn’t fix bad data. It amplifies it.

Integration with Existing Systems

Automation and AI don’t exist in isolation.

They need to connect with:

  • ERP systems 
  • TMS 
  • Banks 
  • Data platforms 

This creates dependencies:

  • System compatibility 
  • Data flows 
  • Maintenance requirements 

Without proper integration, automation becomes fragmented and AI becomes underutilised.

The Human Factor

Despite all the technology, people remain essential.

Treasury professionals:

  • Define processes 
  • Set rules and parameters 
  • Validate outputs 
  • Handle exceptions 

Automation reduces workload. It doesn’t eliminate responsibility.

And when something goes wrong, people still need to understand what happened.

Where It Goes Wrong

Some familiar issues:

  • Automating poorly designed processes 
  • Overestimating what AI can deliver 
  • Ignoring data quality 
  • Lack of ownership and maintenance 
  • Building solutions no one fully understands 

Most problems are not about technology. They’re about expectations and execution.

Treasury’s Role

Treasury decides:

  • What to automate 
  • Where AI adds value 
  • How processes should work 
  • What level of control is required 

It ensures that:

  • Technology supports operations 
  • Risks remain managed 
  • Outputs are trusted 

Because at the end of the day, automation and AI are tools.

And tools are only as useful as the way they’re used.



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Treasury and Financial Planning & Analysis (FP&A)

On paper, treasury and FP&A are best friends. In reality, they’re more like colleagues who technically work together but occasionally question each other’s life choices.

FP&A builds the financial story of the company. Revenue forecasts, cost projections, budgets, scenarios. Treasury looks at that story and asks one very inconvenient question:

“Nice. But when does the cash actually hit the bank?”

That’s where the real interaction starts.

Two Perspectives on the Same Reality

FP&A focuses on profitability and performance. It works largely on an accrual basis. Revenue is recognised when earned, costs when incurred.

Treasury focuses on liquidity. Actual cash in and out. Timing matters. A lot.

A company can be profitable on paper and still run into liquidity issues if cash inflows are delayed or outflows are poorly managed. This is where treasury brings a level of realism that sometimes disrupts beautifully crafted forecasts.

Not to be annoying. Just necessary.

Cash Flow Forecasting: Where It All Comes Together

Cash flow forecasting sits right at the intersection of treasury and FP&A.

FP&A provides the input:

  • Revenue forecasts 
  • Cost expectations 
  • Investment plans 
  • Business assumptions 

Treasury translates that into:

  • Expected cash inflows and outflows 
  • Liquidity positions over time 
  • Funding requirements 
  • Potential shortfalls or surpluses 

This translation is where things often get… interesting.

Because assumptions that look fine in a P&L don’t always translate cleanly into cash:

  • Revenue booked doesn’t mean cash received 
  • Costs incurred don’t mean cash paid immediately 
  • Capex plans rarely follow perfect timelines 

Treasury adjusts for timing, payment terms, seasonality, and real-world behaviour. The result is a cash forecast that reflects how money actually moves.

Or at least tries to.

The Accuracy Problem

Everyone wants accurate forecasts. Few are willing to admit how difficult that actually is.

Cash flow forecasting depends on:

  • Data quality 
  • Input from multiple departments 
  • Consistent assumptions 
  • Discipline in updates 

One late input from sales, one overly optimistic assumption, and the forecast starts drifting away from reality.

Treasury often ends up chasing inputs, validating numbers, and explaining variances. FP&A, on the other hand, is trying to keep the bigger picture aligned.

Neither side is wrong. They just operate at different levels of detail.

Scenario Planning and Stress Testing

This is where the collaboration becomes more strategic.

FP&A builds scenarios:

  • Base case 
  • Upside case 
  • Downside case 

Treasury tests them from a liquidity perspective:

  • Can we fund this scenario? 
  • Do we breach any covenants? 
  • Do we need additional financing? 
  • How long can we sustain a downturn? 

This combination turns abstract scenarios into actionable insights.

A growth plan might look great until treasury shows it requires funding that isn’t secured yet. A downside scenario might look manageable until treasury highlights a liquidity gap in month three.

Not always fun conversations. Usually very useful ones.

Working Capital: The Shared Battlefield

Working capital is where treasury and FP&A constantly overlap.

Receivables, payables, inventory. These directly impact both profitability and liquidity.

FP&A monitors performance metrics:

  • Days Sales Outstanding (DSO) 
  • Days Payables Outstanding (DPO) 
  • Inventory turnover 

Treasury looks at:

  • Actual cash conversion 
  • Timing of inflows and outflows 
  • Liquidity impact of working capital changes 

Improving working capital is one of the fastest ways to unlock cash. It’s also one of the hardest, because it involves multiple departments and competing priorities.

Sales wants to sell. Procurement wants discounts. Operations wants buffer stock. Treasury just wants the cash to show up on time.

Data, Systems, and Reality

Both treasury and FP&A rely heavily on data. And both suffer when that data is fragmented or inconsistent.

Different systems
Different definitions
Different timing assumptions

Without alignment, you end up with:

  • Multiple versions of the truth 
  • Endless reconciliation exercises 
  • Reduced confidence in forecasts 

This is where integration between ERP, TMS, and reporting tools becomes critical. Not because it sounds impressive, but because it reduces friction and improves decision-making.

Where It Goes Wrong

Predictably, a few recurring issues show up:

  • Treasury involved too late in planning cycles 
  • FP&A forecasts not translated into cash impact 
  • Overly optimistic assumptions not challenged 
  • Lack of ownership for forecast inputs 
  • No feedback loop between forecast and actuals 

The result is a disconnect between strategy and liquidity. And that’s exactly where problems start.

Treasury’s Role in the Bigger Picture

A strong treasury function doesn’t just report cash positions. It challenges assumptions, adds timing insight, and ensures that strategic plans are financially executable.

FP&A tells you where the business is going. Treasury tells you whether you can actually get there without running out of fuel.

Put those two together properly, and decision-making improves significantly.

Keep them disconnected, and you’ll eventually run into surprises. Usually at the worst possible moment.



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Investment Risks Across the Treasury Asset Spectrum

When treasury has excess cash, the instinct from the outside is simple: invest it and earn a return.

From the inside, it’s slightly different: don’t lose it, keep it accessible, and if possible earn something on top.

That order matters. A lot.

Treasury investments are not about chasing returns. They are about preserving capital, maintaining liquidity, and managing risk across different instruments.

The Treasury Investment Objective

Treasury typically follows three priorities:

  1. Capital preservation 
  2. Liquidity 
  3. Yield 

In that order.

If you flip that order, you’re no longer doing treasury. You’re doing something else. Usually with more volatility and less sleep.

The Investment Spectrum

Treasury invests across a range of instruments, depending on policy, risk appetite, and liquidity needs.

Common instruments include:

  • Bank deposits (overnight, term deposits) 
  • Money market funds 
  • Commercial paper 
  • Government and high-grade corporate bonds 
  • Short-term investment funds 

Each sits somewhere on a spectrum between:

  • Low risk, high liquidity, low return 
  • Higher risk, lower liquidity, higher return 

Treasury constantly balances where to position itself on that spectrum.

Credit Risk in Investments

Every investment carries credit risk.

Even a simple bank deposit is effectively exposure to that bank.

Treasury evaluates:

  • Credit ratings of counterparties 
  • Financial stability 
  • Concentration of exposure 
  • Limits per institution 

The goal is to avoid situations where a single counterparty failure creates a material loss.

Because recovering lost capital is significantly harder than earning a bit of extra yield.

Liquidity Risk in Investments

An investment is only useful if it can be accessed when needed.

Treasury considers:

  • Maturity profiles 
  • Redemption terms 
  • Market liquidity 

Locking cash into long-term instruments may improve yield, but reduces flexibility.

And flexibility is exactly what treasury needs when cash requirements change unexpectedly.

Market Risk

Even low-risk investments can be exposed to market movements.

Interest rate changes can impact:

  • Bond valuations 
  • Investment returns 
  • Reinvestment opportunities 

Treasury typically limits exposure to market volatility by:

  • Keeping durations short 
  • Avoiding complex or volatile instruments 
  • Aligning investments with liquidity needs 

Again, the goal is stability, not speculation.

Diversification

Diversification reduces risk, but adds complexity.

Treasury spreads investments across:

  • Multiple counterparties 
  • Different instruments 
  • Various maturities 

This reduces dependency on any single exposure.

At the same time, it requires more monitoring and control. Which treasury happily accepts, because concentration risk is worse.

Policy and Limits

Treasury investments are governed by strict policies.

These define:

  • Approved instruments 
  • Counterparty limits 
  • Maturity limits 
  • Credit rating thresholds 

Without these, investment decisions become inconsistent and potentially risky.

Policies create discipline. Discipline protects capital.

The Temptation of Yield

Low interest environments create pressure.

“Can we earn more on our cash?”
“Are we being too conservative?”

This is where treasury needs to stay disciplined.

Chasing yield often means:

  • Taking on more credit risk 
  • Locking in longer maturities 
  • Using more complex instruments 

Which might work for a while. Until it doesn’t.

And when it doesn’t, the downside tends to outweigh the incremental yield earned.

Where It Goes Wrong

Some familiar patterns:

  • Overconcentration in a single bank or fund 
  • Extending maturities beyond liquidity needs 
  • Investing in instruments not fully understood 
  • Relaxing credit standards for higher returns 
  • Lack of monitoring of existing investments 

None of these feel like big decisions at the time. They accumulate.

Treasury’s Role in Investments

Treasury ensures that excess cash:

  • Remains safe 
  • Stays accessible 
  • Generates appropriate returns within defined risk limits 

It’s not about outperforming markets. It’s about avoiding losses while maintaining flexibility.

Which, in the world of corporate treasury, is already considered a success.


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Working Capital Management

Working capital is the fuel of day-to-day operations. It sits in receivables, payables, and inventory. Manage it well, and you free up cash without borrowing a single euro. Manage it poorly, and you’ll be funding your own inefficiencies.

Treasury doesn’t “own” working capital, but it feels the consequences of it every single day.

What Working Capital Actually Is

Working capital is the difference between:

  • Current assets (mainly receivables and inventory) 
  • Current liabilities (mainly payables) 

In simple terms:

  • Money owed to you 
  • Money you owe others 
  • Inventory sitting in between 

All of this directly impacts cash.

The Three Core Components

Working capital is driven by three elements:

  • Accounts Receivable (AR)
    How quickly customers pay 
  • Accounts Payable (AP)
    How quickly you pay suppliers 
  • Inventory
    How long goods sit before being sold 

Each component pulls in a different direction.

Speed up receivables, you improve cash
Delay payables, you preserve cash
Reduce inventory, you free up cash

Sounds easy. It isn’t, because each one affects another part of the business.

Key Metrics

To measure working capital performance:

  • DSO (Days Sales Outstanding)
    How long it takes to collect from customers 
  • DPO (Days Payables Outstanding)
    How long it takes to pay suppliers 
  • DIO (Days Inventory Outstanding)
    How long inventory is held 

Together, they form the cash conversion cycle (CCC):

  • How long cash is tied up in operations 

Shorter cycle = better liquidity
Longer cycle = more cash tied up

The Internal Tug-of-War

This is where it gets interesting.

  • Sales wants flexible payment terms to win deals 
  • Procurement wants early payment discounts 
  • Operations wants inventory buffers to avoid shortages 

All perfectly reasonable. Individually.

Collectively, they tie up cash.

Treasury sits in the middle, trying to balance:

  • Commercial objectives 
  • Operational needs 
  • Liquidity impact 

Not always a popular role.

Improving Receivables

Faster collections improve cash flow.

This can be achieved through:

  • Clear payment terms 
  • Active credit management 
  • Efficient invoicing processes 
  • Strong follow-up on overdue payments 

In theory, everyone agrees with this. In practice, chasing customers is rarely anyone’s favourite activity.

Managing Payables

Extending payment terms improves liquidity.

Treasury works with procurement to:

  • Negotiate longer payment terms 
  • Align payment cycles 
  • Avoid unnecessary early payments 

But push too hard, and you strain supplier relationships.

Again, balance.

Optimising Inventory

Inventory ties up cash without generating immediate return.

Reducing it requires:

  • Better demand forecasting 
  • Efficient supply chain management 
  • Alignment between operations and sales 

Treasury doesn’t manage inventory directly, but highlights the financial impact.

Because excess inventory is basically cash sitting on a shelf.

Working Capital as a Funding Lever

Improving working capital is often the fastest way to release cash.

Unlike external funding:

  • No interest cost 
  • No negotiations with banks 
  • Immediate impact 

That’s why it’s often referred to as “hidden liquidity.”

The challenge is that it requires coordination across multiple departments.

Which means it’s simple in theory, complex in execution.

Where It Goes Wrong

Some recurring issues:

  • Lack of ownership across departments 
  • Misaligned incentives (sales vs cash) 
  • Poor visibility into working capital metrics 
  • Inconsistent payment terms 
  • Excess inventory due to weak planning 

Most of these are organisational, not technical.

Treasury’s Role in Working Capital

Treasury acts as the connector.

It:

  • Highlights the liquidity impact of decisions 
  • Provides visibility into cash implications 
  • Supports initiatives to improve efficiency 

It doesn’t control sales, procurement, or operations. But it ensures their decisions are reflected in cash outcomes.

Because at the end of the day, working capital is not just an operational topic.

It’s a liquidity driver.

And ignoring it is one of the fastest ways to create unnecessary funding needs.



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Cash Flow Forecasting

Cash flow forecasting is the process of estimating how much cash will come in and go out of the business over a given period.

That sounds simple. It isn’t.

Because forecasting depends on assumptions. And assumptions depend on people. And people are… let’s say, optimistic.

Treasury’s job is to take all those assumptions and turn them into something that resembles reality.

Why Cash Flow Forecasting Matters

Cash flow forecasting allows companies to:

  • Anticipate liquidity shortages or surpluses 
  • Plan funding or investment decisions 
  • Support strategic initiatives 
  • Avoid last-minute surprises 

Without a forecast, treasury is reactive. With a forecast, it can act ahead of time.

The difference is usually measured in cost, stress, and how often someone says “we didn’t see this coming.”

Different Forecast Horizons

Not all forecasts are the same.

  • Short-term (daily to weekly)
    Focus on cash positioning and immediate liquidity needs 
  • Medium-term (monthly to quarterly)
    Support planning, funding, and working capital management 
  • Long-term (annual and beyond)
    Linked to strategic planning and capital structure decisions 

Each serves a different purpose and requires a different level of detail.

Short-term forecasts need accuracy.
Long-term forecasts need direction.

Confusing the two is a common mistake.

Sources of Forecast Data

Forecasts are built from multiple inputs:

  • Sales projections 
  • Accounts receivable and payable data 
  • Payroll and operational expenses 
  • Capex plans 
  • Tax payments 
  • Financing activities 

Treasury consolidates these inputs into a single view.

The challenge is not collecting data. It’s ensuring that data is:

  • Complete 
  • Consistent 
  • Timely 

Which is where things usually start to fall apart.

The Reality of Forecast Accuracy

Everyone wants a “highly accurate” forecast.

Reality check: perfect accuracy doesn’t exist.

Forecasting is influenced by:

  • Changing business conditions 
  • Delays in payments 
  • Unexpected expenses 
  • Human assumptions 

Instead of chasing perfection, treasury focuses on:

  • Improving accuracy over time 
  • Understanding variances 
  • Building confidence in the forecast 

A forecast that is directionally correct and consistently improved is far more valuable than one that looks precise but isn’t trusted.

Direct vs Indirect Forecasting

There are two main approaches:

  • Direct forecasting
    Based on known cash flows, such as invoices and payments 
  • Indirect forecasting
    Derived from P&L and balance sheet projections, typically through FP&A 

Direct forecasting is more accurate in the short term.
Indirect forecasting is useful for longer-term planning.

Most companies use a combination of both.

Rolling Forecasts

Static forecasts quickly become outdated.

Rolling forecasts are continuously updated, typically:

  • Weekly for short-term views 
  • Monthly for longer horizons 

This keeps the forecast relevant and allows treasury to adapt to changes.

It also creates more work. But useful work.

The Role of Technology

Forecasting can be supported by:

  • ERP systems 
  • TMS platforms 
  • Data aggregation tools 
  • Increasingly, AI and machine learning 

Technology helps:

  • Consolidate data 
  • Identify patterns 
  • Reduce manual effort 

But it does not fix:

  • Poor input data 
  • Lack of ownership 
  • Weak processes 

If the inputs are unreliable, the output will be too. Just faster.

Ownership and Accountability

One of the biggest challenges in forecasting is ownership.

Who is responsible for:

  • Providing inputs 
  • Validating assumptions 
  • Updating data 

Without clear ownership:

  • Inputs arrive late or incomplete 
  • Forecasts lose credibility 
  • Treasury spends more time chasing data than analysing it 

Clear roles and accountability improve both efficiency and accuracy.

Variance Analysis

Forecasting is not just about predicting. It’s about learning.

Treasury compares:

  • Forecast vs actual 
  • Identifies deviations 
  • Understands root causes 

This feedback loop improves future forecasts and highlights structural issues.

Without it, forecasting becomes a repetitive exercise with limited value.

Where It Goes Wrong

Some familiar issues:

  • Overly optimistic assumptions 
  • Lack of input from key stakeholders 
  • Fragmented data sources 
  • No regular updates 
  • No analysis of variances 

The result is a forecast that exists, but isn’t trusted.

Which defeats the purpose entirely.

Treasury’s Role in Forecasting

Treasury brings structure, discipline, and realism to forecasting.

It ensures:

  • Cash flows are understood and projected 
  • Liquidity risks are identified early 
  • Decisions are based on forward-looking insight 

It doesn’t predict the future. It reduces uncertainty around it.

And in treasury, that’s about as close as you get to control.



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