Showing posts with label commodities bubble. Show all posts
Showing posts with label commodities bubble. Show all posts

Monday, May 17, 2010

Credit – another dimension of commodity trade



Amid mounting fears of debt crises in Europe (or more generally sovereign debt around the world) commodities are seen as safe haven. This consensus might be misconception as market participants could miss several points.

  • First point is (but possibly lest important) the fact that “FEAR” is not an equilibrium concept
  • Secondly demand and supply curves may not be independent the demand and supply is not guided my current prices but rather by future prices.
  • My last but not least important point is that the futures markets heavily depend on credit market. As I mentioned earlier the supply and demand curves may not be independent (even in case of commodities) as financial intermediaries adjust actively their balance sheets to their VAR models (pro-cyclical). In other words greater demand for the assets tends to put upward pressure on its prices, and then there is a feedback effect in which stronger balance sheets feed greater demand for the asset which in turn raises the asset price and lead to bigger balance sheets ( for more detail analysis of this process please look on the one of the previous post or read Shin and Adrian paper ). This process if unchecked can lead asset prices up to the sky and then down to the hell. At climax of this process utilization of collateral is at full and the price is strongly dependent on further and faster credit inflow which amid rising LIBOR rates may be difficult.

    Chart above shows swap positioning for US copper futures (The Spreading: For the futures-only spreading measures the extent to which each non-commercial trader holds equal long and short futures positions. Non- commercial traders are not involved in an underlying cash business; thus, they are referred to as speculators). It clearly shows that copper prices are strongly affected by speculative activity and are heavily dependent on credit market. This I just one example but cross-correlation of metals is high and all commodity markets looks similar. As I wrote previous post I think we just get into unstable phase.

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Thursday, May 13, 2010

Do bubbles lurk in metals?


Sugar bubble has burst. Analysis posted earlier on this blog was correct but... it was not accurate enough to make money out of it.
Now again I’m turning my attention to commodities but this time to metals as my intuition tells me that the bubble may lurks in there. My intuition is driven by increasing cross correlation of base and precious metals. This time on top of estimating LPPL I also plan to implement Minimum Spanning Tree (MST) to get more insight in to the metal markets topology. This project is partially inspired by Paweł Sieczka and Janusz Hołys research paper (link here).

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Monday, November 23, 2009

Financialization of Commodity Markets: Nonlinear Consequences from Heterogeneous

Just read quite interesting paper form central bank of Argentina. Authors’ claims that that high discrepancies between spot and fundamental commodities prices tend to be corrected relatively fast, while small misalignments tend to persist over time without any endogenous correcting force taking place. This is quite non-intuitive conclusion. Isn’t it?

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Friday, November 20, 2009

Commodities corner: Sugar futures bubble ready to burst - an update



Over the past few months, sugar has been on accelerating upward spiral, hitting a 28-year high at USD24 cents per pound. On September 1rd In analysis posted on this blog I stated that sugar prices exhibit a “bubble” characteristic. Fitting LPPL model I came to conclusion that bubble get into critical zone. The critical zone describes the maturation of a systemic instability forewarning of an inevitable crash. Since the beginning of September the sugar prices abandoned the „super-exponential” growth pattern and start to widely oscillate which goes along the prediction of the LPPL model





Here you can download a PowerPoint presentation. This presentation is aimed to show a more detailed analysis of the sugar#11 futures contract prediction and the methods used to make and test them. Specifically they are LPPL model, LPPL fitting procedure

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