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Figures from the book

Every active manuscript figure, compiled for the first web edition. Download SVG for scalable use or PNG for slides and documents.

01Structure of the book: From Market Fundamentals to Risk Adjusted Decisions.
Introduction

Structure of the book: From Market Fundamentals to Risk Adjusted Decisions.

fig:Figure61SVGPNGChapter
02Vertical supply chain view showing the trader as a parallel value-adding layer across the execution chain. The trader creates value by reducing transaction costs, coordinating logistics and contracts, providing finance, and bearing risk between export and import.
Introduction

Vertical supply chain view showing the trader as a parallel value-adding layer across the execution chain. The trader creates value by reducing transaction costs, coordinating logistics and contracts, providing finance, and bearing risk between export and import.

fig:Figure1SVGPNGChapter
03Responsibility across an FOB-CFR trading chain. Note that the figure is arranged to be read from top to bottom by phase. The dashed horizontal line marks the load port point where FOB delivery occurs and risk transfers to the buyer under CFR.
Introduction

Responsibility across an FOB-CFR trading chain. Note that the figure is arranged to be read from top to bottom by phase. The dashed horizontal line marks the load port point where FOB delivery occurs and risk transfers to the buyer under CFR.

fig:Figure4SVGPNGChapter
04Freight as the strategic link in bulk commodity supply chains
Introduction

Freight as the strategic link in bulk commodity supply chains

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05Economic logic of regional price gaps under logistics constraints and trader response.
Economics

Economic logic of regional price gaps under logistics constraints and trader response.

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06From Price Quotes to Trade Response.
Economics

From Price Quotes to Trade Response.

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07Opportunity cost in vessel allocation.
Economics

Opportunity cost in vessel allocation.

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08Stylised bargaining schematic for spot freight fixing.
Economics

Stylised bargaining schematic for spot freight fixing.

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09How freight control is separated from ship ownership.
Economics

How freight control is separated from ship ownership.

fig:Figure17SVGPNGChapter
10From commodity fundamentals to freight clearing. Commodity fundamentals determine net trade requirements, which are translated into seaborne allocation and routing, trade stems, and demand for shipping services measured in tonne miles. Freight rates then clear transport demand against open tonnage and the marginal ship's reservation level.
Balance Sheets

From commodity fundamentals to freight clearing. Commodity fundamentals determine net trade requirements, which are translated into seaborne allocation and routing, trade stems, and demand for shipping services measured in tonne miles. Freight rates then clear transport demand against open tonnage and the marginal ship's reservation level.

fig:Figure13SVGPNGChapter
11Working capital and liquidity in a CFR trade under a sight letter of credit.
Solid arrows show the sequence within each band. Dashed links show dependencies
across the commercial cash cycle, bank finance and hedge liquidity. Payment timing
differs under CAD, usance LC and open-account terms.
Balance Sheets

Working capital and liquidity in a CFR trade under a sight letter of credit. Solid arrows show the sequence within each band. Dashed links show dependencies across the commercial cash cycle, bank finance and hedge liquidity. Payment timing differs under CAD, usance LC and open-account terms.

fig:Figure14SVGPNGChapter
12Freight formation as a comparison between two outputs.
Balance Sheets

Freight formation as a comparison between two outputs.

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13Short run fleet supply is relatively flat at low utilisation and steep near capacity. As demand rises from \(D_1\) to \(D_2\), equilibrium moves from \(E_1\) to \(E_2\). Quantity increases modestly, from \(Q_1\) to \(Q_2\), but freight rates rise sharply, from \(P_1\) to \(P_2\), because spare capacity is limited.
Balance Sheets

Short run fleet supply is relatively flat at low utilisation and steep near capacity. As demand rises from \(D_1\) to \(D_2\), equilibrium moves from \(E_1\) to \(E_2\). Quantity increases modestly, from \(Q_1\) to \(Q_2\), but freight rates rise sharply, from \(P_1\) to \(P_2\), because spare capacity is limited.

fig:Figure35SVGPNGChapter
14Space, time, and form in physical commodity arbitrage
Space, Time and Form

Space, time, and form in physical commodity arbitrage

fig:Figure8SVGPNGChapter
15Storability links spot and forward prices for wheat through carry, while freight has no storage anchor. In the top panel, the dashed line is today’s spot price, the blue line is the full carry ceiling and the green line is the observed forward curve. The top panel is in USD/pmt and the bottom panel is in USD/day.
Space, Time and Form

Storability links spot and forward prices for wheat through carry, while freight has no storage anchor. In the top panel, the dashed line is today’s spot price, the blue line is the full carry ceiling and the green line is the observed forward curve. The top panel is in USD/pmt and the bottom panel is in USD/day.

fig:Figure55SVGPNGChapter
16Simplified value chain for agricultural freight trading
Space, Time and Form

Simplified value chain for agricultural freight trading

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17Theoretical spatial transformation from FOB purchase to CFR sale
Space, Time and Form

Theoretical spatial transformation from FOB purchase to CFR sale

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18Illustrative form transformation through multi cargo parcel-mix optimisation
Space, Time and Form

Illustrative form transformation through multi cargo parcel-mix optimisation

fig:Figure51SVGPNGChapter
19Optionality changes the commercial result while leaving spread uncertainty unchanged. Note that the action and result depend on whether the trader is long or short a call or put option.
Space, Time and Form

Optionality changes the commercial result while leaving spread uncertainty unchanged. Note that the action and result depend on whether the trader is long or short a call or put option.

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20Relative prices move faster than capacity
Space, Time and Form

Relative prices move faster than capacity

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21Merchandising creates value through reliable execution of committed flows. Trading creates value through preserving and exercising flexible rights under hard constraints.
Space, Time and Form

Merchandising creates value through reliable execution of committed flows. Trading creates value through preserving and exercising flexible rights under hard constraints.

fig:Figure24SVGPNGChapter
22Formation of the net trade margin after hedging for a theoretical CFR sale done
Basis Trading

Formation of the net trade margin after hedging for a theoretical CFR sale done

fig:Figure11SVGPNGChapter
23Tender and delivery impose economic boundaries on basis. At the futures delivery point, basis converges towards zero as expiry approaches. Away from the deliverable market, transport costs create a band around the futures benchmark: interior cash cannot remain far below futures once tendering becomes economical, and destination cash cannot remain far above futures once taking delivery becomes economical. Note certain assumptions on transport costs are necessary for decision makers
Basis Trading

Tender and delivery impose economic boundaries on basis. At the futures delivery point, basis converges towards zero as expiry approaches. Away from the deliverable market, transport costs create a band around the futures benchmark: interior cash cannot remain far below futures once tendering becomes economical, and destination cash cannot remain far above futures once taking delivery becomes economical. Note certain assumptions on transport costs are necessary for decision makers

fig:Figure52SVGPNGChapter
24As expiry approaches, tender and delivery economics pull basis into a narrowing corridor around the deliverable market.
Basis Trading

As expiry approaches, tender and delivery economics pull basis into a narrowing corridor around the deliverable market.

fig:Figure54SVGPNGChapter
25Optionality in FOB-to-CFR trading
Basis Trading

Optionality in FOB-to-CFR trading

fig:Figure59SVGPNGChapter
26Illustrative monthly route basis for a Time Charter trip from region A to region B on a Handysize vessel across four years. Basis is the physical route time charter equivalent less the relevant Baltic Handysize benchmark, measured in USD/day. Positive values indicate a route premium to the benchmark, while negative values indicate a discount. The common monthly shape represents recurring seasonality, while the differences across years represent market conditions specific to each year.
Basis Trading

Illustrative monthly route basis for a Time Charter trip from region A to region B on a Handysize vessel across four years. Basis is the physical route time charter equivalent less the relevant Baltic Handysize benchmark, measured in USD/day. Positive values indicate a route premium to the benchmark, while negative values indicate a discount. The common monthly shape represents recurring seasonality, while the differences across years represent market conditions specific to each year.

fig:Figure64SVGPNGChapter
27Illustrative example of how to think about different markets presented by market on an ordinal radar scale. Each axis is scored as low, medium, or high. Oil scores medium on volatility, high on market size, and low on capture ability. Freight scores low on volatility and market size, but high on capture ability. The shaded areas summarise relative position across axes; they are not estimated profit surfaces. Note that some freight markets can be more volatile than oil, and vice versa.
Basis Trading

Illustrative example of how to think about different markets presented by market on an ordinal radar scale. Each axis is scored as low, medium, or high. Oil scores medium on volatility, high on market size, and low on capture ability. Freight scores low on volatility and market size, but high on capture ability. The shaded areas summarise relative position across axes; they are not estimated profit surfaces. Note that some freight markets can be more volatile than oil, and vice versa.

fig:Figure50SVGPNGChapter
29Freight options and their usage
Basis Trading

Freight options and their usage

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30Financial and real optionality in freight basis trading
Basis Trading

Financial and real optionality in freight basis trading

fig:Figure53SVGPNGChapter
31Parallel workflow for VaR based freight pricing. Branch A estimates the quote specific forward value and allowed VaR. Branch B independently estimates residual basis VaR from historical hedged basis changes. The two outputs meet at the policy gate.
VaR Based Pricing

Parallel workflow for VaR based freight pricing. Branch A estimates the quote specific forward value and allowed VaR. Branch B independently estimates residual basis VaR from historical hedged basis changes. The two outputs meet at the policy gate.

fig:Figure65SVGPNGChapter
32A quote is accepted only if hedged VaR sits below the policy line.
VaR Based Pricing

A quote is accepted only if hedged VaR sits below the policy line.

fig:Figure58SVGPNGChapter
33Historical relationship between route TC and selected Baltic driver.
VaR Based Pricing

Historical relationship between route TC and selected Baltic driver.

fig:betaPNGChapter
34Empirical distribution of historical basis levels between the physical route and the selected Baltic driver.
VaR Based Pricing

Empirical distribution of historical basis levels between the physical route and the selected Baltic driver.

fig:basis_histPNGChapter