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Chemicals by Palladium-Catalyzed Intramolecular Additions to Alkynes

Our model solutions are described as follows. The first equilibrium constitutes as the unconstrained highest ranking one. The second group of equilibria constitutes of mid-ranked ones, which are subject to a single binding constraint. Finally, the third group of equilibria constitutes of the lowest ranked ones, which are subject to two binding constraints.

The Economically Highest Ranked Equilibrium (PCSt+1 – Solution 1, see Table)

This signifies an interior equilibrium, where the hedging or risk management constraints on agents are not binding (i.e. µt+1 = Φ't+1 = Φ''t+1 = 0). In other words, the futures contracting of all agents are in the satiation region. This equilibrium is evaluated by superimposing the demand-supply financial sector (i.e., futures) constraint (equation 14) on the respective pricing functions of various agents derived in Sections 3.2-3.4. Since this equilibrium involves four endogenous variables (ft+1, qP

t+1, qC

t+1, q

St+1), four independent equations (7), (10), (12) and (14) are sufficient to yield a unique normal backwardation solution. In this case:

ft+1  Et(p~

Here the marginal utility of each agent adjusts in such a way that no agent can extract any economic surplus from the other. Deviation of futures price from expected spot price is given in terms of a covariance term (of marginal utility of stochastic consumption with price

risk) divided by the expectation of marginal utility of consumption. The stochastic consumption parameter of all agents is impacted jointly by the operational (i.e., yield) and price risks, as illustrated in equations (5), (8) and (11). We note that the above pricing function (along with the others given below such as equations (17–22), and (23–31)) reflect the risk profile of the agents in the economy. This is different from that derived from the

″cash–and–carry″ arbitrage, which is free of risk aversion parameters.

The Economically Mid-Ranked Equilibria

In general, non-satiation of futures contracting of either agent in the economy leads to a strictly binding hedging or risk management constraint. The binding constraint endows the respective agent with market power. Since constraints lead to a reduction in welfare, the agent subject to it gains market power. S/he can take the price of futures determined by the competing agents at a favorable level.

To elaborate this point further:

(i) Equilibrium PCt+1 (Solution 5):

If the risk management constraint on the Speculator is binding (Φ''t+1 > 0; qSt+1= q

¯t+1), then the futures pricing is determined by both Producers and Consumers, while the economic surplus is retained by the Speculator. That is,

ft+1  Et(p~

Equilibrium PSt+1 (Solution 9):

Here, the Consumer’s hedging constraint binds (Φ't+1 > 0; qCt+1 = Min.(~c

t+1)).

Futures pricing is thus determined by both Producers and Speculators, while the economic surplus is retained by the Consumer. That is,

ft+1  Et(p~

ft+1  Et(p~

Equilibrium CSt+1 (Solution 13):

Here, the Producer’s hedging constraint binds (µt+1> 0; qP

t+1= Min.(y*~

t+1)).

Futures pricing is determined by both Consumers and Speculators, while the economic surplus is retained by the Producer. That is,

ft+1  Et(p~

Equilibrium P'C't+1 (Solution 2):

Here the futures pricing is determined jointly by the Producers and Consumers, while the Speculator is priced out of the market (qS

t+1 = 0). That is,

Equilibrium P'S't+1 (Solution 3):

Here, the futures pricing is determined jointly by the Producers and Speculators, while the Consumer is priced out of the market (qC

t+1 = 0). That is, Equilibrium C'S't+1 (Solution 4):

Here, the futures pricing is determined jointly by the Consumers and Speculators, while the Producer is priced out of the market (qP

t+1 = 0). That is,

ft+1  Et(p~ determined by the remaining agents’ reservation price. Here the market power is extricated by the agents facing the constraint, as their futures pricing conditions hold as strict inequalities.

(i) Equilibrium Pt+1 (Solution 17):

Here, the futures pricing is determined solely by the Producers, while the Consumers and Speculators are price-takers. That is,

ft+1  Et(p~

Equilibrium Ct+1 (Solution 21):

Here, the futures pricing is determined solely by the Consumers, while the Producers and Speculators are price-takers. That is,

ft+1  Et(p~

Equilibrium St+1 (Solution 25):

Here, the futures pricing is determined solely by the Speculators, while the Producers and Consumers are price-takers. That is,

ft+1  Et(p~ Speculators are price-takers; and (ii) the Consumers are priced out of the market (qC

Equilibrium (C')1(t+1) (Solution 8)

Here, the futures pricing is determined solely by the Consumers, while: (i) the Speculators are price-takers; and (ii) the Producers are priced out of the market (qPt+1 = 0). That is,

Equilibrium (S')1(t+1) (Solution 12)

Here, the futures pricing is determined solely by the Speculators, while: (i) the Consumers are price-takers; and (ii) the Speculators are priced out of the market (qSt+1 = 0). That is,

Equilibrium (C')2(t+1) (Solution 14)

Here, the futures pricing is determined solely by the Consumers, while: (i) the Producers are price-takers; and (ii) the Speculators are priced out of the market (qSt+1 = 0). That is,

ft+1  Et(p~

t+1) =

Covt(US'(c~S

t+1), p~

t+1) Et(US'(c~S

t+1))

>/< 0,

ft+1  Et(p~

t+1) >

Covt(UP'(c~P

t+1), p~

t+1) Et(UP'(c~P

t+1))

.

(31)

Thus, the presence of the three tier equilibria in a dynamic setting can lead to the market moving between multiple equilibria, alternating between normal backwardation and contango, thereby increasing volatility and making the empirical analysis of time series data unintelligible, leading to a puzzling behavior of futures prices.

Q.E.D.

No. Hedging

t+1 with Prod., Con. and Spec. setting price of futures

2 0 0 0 > 0 > 0 0 P'C'

t+1 with Prod. and Con. setting price and Spec. not participating (qS

t+1 = 0)

3 0 0 0 > 0 0 > /< 0 P'S'

t+1 with Prod. and Spec. setting price and Con. not participating (qC

t+1 = 0)

4 0 0 0 0 > 0 > /< 0 C'S't+1 with Con. and Spec. setting price and Prod. not participating (qP

t+1 = 0)

5 0 0 > 0 > 0 > 0 > /< 0 PC

t+1 with Prod. and Con. setting price, while spec. is a price taker (extricating economic surplus)

6 0 0 > 0 > 0 > 0 0 This equilibrium does not make sense as constraint and K-T condition contradict each

other.

7 0 0 > 0 > 0 0 > / < 0 P'

1(t+1) with Prod. setting price, Spec. being a price-taker and Con. not participating (qC

t+1 = 0)

8 0 0 > 0 0 > 0 > / < 0 C'

1(t+1) with Con. setting price, Spec. being a price-taker and Prod. not participating (qP

t+1 = 0)

9 0 > 0 0 > 0 > 0 > / < 0 PS

t+1 with Prod. and Spec. setting price, while consumer is price-taker (extricating economic surplus)

10 0 > 0 0 > 0 > 0 0 P'

2(t+1) with Prod. setting price, Con. being a price-taker, and Spec. not participating (qS

t+1 = 0)

11 0 > 0 0 > 0 0 > / < 0 This equil. does not make sense as constraint and K-T condition contradict each other.

12 0 > 0 0 0 > 0 > / < 0 S'

1(t+1) with Spec. setting price, Con. being a price taker, and Prod. not participating (qP

t+1 = 0)

13 > 0 0 0 > 0 > 0 > / < 0 CS

t+1 with Con. and Spec. setting price, while Prod. is a price taker (extricating

economic surplus)

14 > 0 0 0 > 0 > 0 0 C'

2(t+1) with Con. setting price, Prod. being a price-taker and Spec. not participating (qS

t+1 = 0)

15 > 0 0 0 > 0 0 > / < 0 S'

2(t+1) with Spec. setting price, Prod. being a price-taker and Con. not participating (qC

t+1 = 0)

16 > 0 0 0 0 > 0 > / < 0 This equil. does not make sense as constraint and K-T condition contradict each other.

17 0 > 0 > 0 > 0 > 0 > / < 0 P

t+1 with Prod. setting price, while both Con. and Spec. are price-takers.

18 0 > 0 > 0 > 0 > 0 0 This equil. does not make sense as constraint and K-T condition contradict each other.

19 0 > 0 > 0 > 0 0 > / < This equil. does not make sense as constraint and K-T condition contradict each other.

20 0 > 0 > 0 0 > 0 > / < 0 This equil also does not make sense as Prod. is supposed to set prices while the other two agents are price-takers. However, qP

t+1 = 0.

21 > 0 0 > 0 > 0 > 0 > / < 0 C

t+1 with Con. setting price, while Prod. and Spec. are price-takers (extricating economic surplus).

22 > 0 0 > 0 > 0 > 0 0 This equil. does not make sense as constraint and K-T condition contradict each other.

23 > 0 0 > 0 > 0 0 > / < 0 This equil also does not make sense as Con. is supposed to set prices while the other two agents are price-takers. However, qC

t+1 = 0.

24 > 0 0 > 0 0 > 0 > / < 0 This equil. does not make sense as constraint and K-T condition contradict each other.

25 > 0 > 0 0 > 0 > 0 > / < 0 S

t+1 with Spec. setting price, while Con. and Prod. are price-takers.

26 > 0 > 0 0 > 0 > 0 0 This equil also does not make sense as Spec. is supposed to set prices while the other two agents are price-takers. However, qS

t+1 = 0.

27 > 0 > 0 0 > 0 0 > / < 0 This equil. does not make sense as constraint and K-T condition contradict each other.

28 > 0 > 0 0 0 > 0 > / < 0 This equil. does not make sense as constraint and K-T condition contradict each other.

evidence from commodity markets. Journal of Financial Economics 109, 441-465.

Adler, D. (2014). The New Economics of Liquidity and Financial Frictions, CFA Research Foundation, Charlottesville, VA, USA.

Aїt-Youcef, C. (Forthcoming). How index investment impacts commodities: A story about the financialization of agricultural commodities. Economic Modelling. Accessed at (http://doi.org/10.1016/j.econ.mod.2018.04.007).

Algieri B. (2016) Conditional price volatility, speculation, and excessive speculation in commodity markets: sheep or shepherd behaviour? International Review of Applied Economics 30 (2), 210-237.

Anderson, R.W. and J.P. Danthine. (1983). Hedger diversity in futures markets. Economic Journal 93, 370-389.

ap Gwilym, R. and M.S. Ebrahim. (2013). Can position limits restrain 'rogue' trading? Journal of Banking and Finance 37, 824-836.

Arseneau, D. and S. Leduc. (2013). Commodity price movements in a general equilibrium model of storage, IMF Economic Review 61(1), 199-224.

Biais, B., P. Bossaerts, and C. Spatt. (2010). Equilibrium asset pricing and portfolio choice under asymmetric information. Review of Financial Studies 23, 1503-1543.

Basak, S. and A. Pavlova. (2016). A model of financialization of commodities. Journal of Finance 71, 1511-1555.

Bray, M.M. (1981). Futures trading, rational expectations, and the efficient market hypothesis, Econometrica 49, 575-596.

Breeden, D.T. (1980). Consumption risk in futures markets, Journal of Finance 35, 503-520.

Brennan, M.J. (1958). The supply of storage, American Economic Review 48, 50-72.

Brogaard, J., T. Hendershott and R. Riordan. (2014). High-frequency trading and price discovery. Review of Financial Studies 27(8), 2267-2306.

Chambers, M.J. and R.E. Bailey. (1996). A theory of commodity price fluctuations. Journal of Political Economy 104(5), 924-957.

Chang, E.C. (1985). Returns to speculators and the theory of normal backwardation. Journal of Finance 40, 193-208.

Chaturvedi, A. and V. Martínez-de-Albéniz. (2016). Safety stock, excess capacity or diversification: Trade-offs under supply and demand uncertainty. Production and Operations Management 25(1), 77-95.

Cheng, I.W., A. Kirilenko and W. Xiong. (2015). Convective risk flows in commodity futures markets. Review of Finance 19, 1733-1781.

Chiang, A.C. (1984). Fundamental Methods of Mathematical Economics. McGraw−Hill, New York, 369−434.

Deaton, A. and G. Laroque. (1992). On the behavior of commodity prices. Review of Economic Studies 59(1), 1-23.

De Roon, F.A., T.E. Nijman and C. Veld. (2000). Hedging pressure effects in futures markets.

Journal of Finance 55, 1437-1456.

Fama, E.F. and K.R. French. (1987). Commodity futures price: Some evidence of forecast power, premiums and the theory of storage. Journal of Business 60, 55-73.

Ghosh, J., J. Heintz, and R. Pollin. (2012). Speculation of commodities futures markets and destabilization of global food prices: exploring the connections. International Journal of Health Services 42 (3), 465–483.

Gorton, G., F. Hayashi and G. Rouwenhorst. (2013). The fundamentals of commodity futures returns. Review of Finance 17, 35-105.

Gustafson, R.I. (1958). Carryover levels for grains, U.S. Department of Agriculture, Technical Bulletin 1178.

Hamilton, J.D. and J.C. Wu. (2015). Effects of index-fund investing on commodity futures prices. International Economic Review 56, 187-205.

Hansen, L.P. (1982). Large sample properties of Generalized Method of Moments Estimators, Econometrica 50, 1029-54.

Hirshleifer, D. (1988). Residual risk, trading costs, and commodity futures risk premia.

Review of Financial Studies 1(2), 173-193.

Hirshleifer, J. (1975). Speculation and equilibrium: Information, risk and markets. Quarterly Journal of Economics 89(4), 519-542.

Hull, J.C. 2006. Options, Futures and Other Derivatives, 40-41, 109-110, 116-122. Prentice Hall, Upper Saddle River, NJ.

Jagannathan, R. (1985). An investigation of commodity futures prices using the Consumption-Based Intertemporal Capital Asset Pricing Model. Journal of Finance 40(1), 175-191.

Jawadi, F. Z. Ftiti and M. Hdia. (2017). Assessing efficiency and investment opportunities in commodities: A time series and portfolio simulations approach. Economic Modelling 64, 567-588.

Jebabli, I. and D. Roubaud. (2018). Time-varying efficiency in food and energy markets:

Evidence and implications. Economic Modelling 70, 97-114.

Kaldor N. (1939). Speculation and economic stability. Review of Economic Studies 7, 1-27.

Keynes, J.M. (1930). A Treatise on Money, Vol. 2, Macmillan, London.

Kolb, R.W. (1996). The systematic risk of futures contracts. Journal of Futures Markets 16(6), 631-654.

Lee, J. (2013). A comprehensive study on normal backwardations in futures markets. Journal of Accounting and Finance 13, 115-121.

Lee, S. (2003). The dismal science: Freddie hides in the hedges. Wall Street Journal (Eastern Edition, July 15 Issue), A14.

Meyer, G. and N. Hume. (2016). Agricultural traders remain stuck in hard times. Financial Times (May 4, 2016), p. 20.

Mishra, V. and R. Smyth. (2016). Are natural gas and spot futures prices predictable?

Economic Modelling 54, 178-186.

Mo, D. R. Gupta, B. Li and T. Singh. (2018). The macroeconomic determinants of commodity futures volatility: Evidence from Chinese and Indian markets. Economic Modelling 70, 543-560.

Patinkin, D. (2008). “Walras’s Law.” In The New Palgrave Dictionary of Economics, Second Edition, eds. S.N. Durlauf and L.E. Blume. New York, NY, USA: Palgrave Macmillan.

Popescu, D.G. and S. Seshadri. (2013). Demand uncertainty and excess supply in commodity contracting. Management Science 59(9), 2135-2152.

Rolfo, J. (1980). Optimal hedging under price and quantity uncertainty: The case of a cocoa producer. Journal of Political Economy 88(11), 100-116.

Rouwenhorst, K. and K. Tang. (2012). Commodity investing. Annual Review of Financial Economics, 4, 447-467.

Roy, R.P. and S.S. Roy. (2017). Financial contagion and volatility spillover: An exploration into Indian commodity derivative market. Economic Modelling 67, 368-380.

Sargan, J.D. (1958). The estimation of economic relationships using instrumental variables.

Econometrica 26, 393-415.

Sargan, J.D. (1975). Testing for misspecification after estimating using the instrumental variables. Unpublished Working Paper, London School of Economics.

Singleton, K.J. (2017). Investor flows and the 2008 boom/bust in oil prices. Management Science 60(2), 300-318.

Sockin, M. and W. Xiong. (2015). Informational frictions and commodity markets. Journal of Finance 70 (5), 2063-2097.

Stoll, H. (1979). Commodity futures and spot price determination and hedging in capital markets. Journal of Financial and Quantitative Analysis, Vol. 14, No. 4, 873-894

Tang, C.S., Wang, Y. and M. Zhao. (2015). The implications of utilizing market information and adopting agricultural advice for farmers in developing countries. Production and Operations Management 24(8), 1197-1215.

Tang K. and W. Xiong. (2012). Index investment and financialization of commodities, Financial Analysts Journal 68(6): 54–74.

United States Permanent Subcommittee on Investigations, 2009. Excessive Speculation in the Wheat Market.

<http://hsgac.senate.gov/public/index.cfm?FuseAction=Hearings.Hearing&Hearing_id=26f 85374-c43a-4e2a-ac16-b64a40ca263a>.

Varian, H.R. (1987). The arbitrage principle in financial economics. Journal of Economic Perspectives 1(2), 55-72.

Wang, X. and S.M. Disney. (2016). The bullwhip effect: Progress, trends and directions.

European Journal of Operational Research 250, 691-701.

Weil, P. (2008). Overlapping generations: The first jubilee. Journal of Economic Perspectives 22, 115-134

Williams, J.C. and B. D. Wright. (1991). Storage and Commodity Markets, Cambridge University Press, Cambridge, U.K.

Working, H. (1949). The Theory of the Price of Storage. American Economic Review 39, 1254-1262.