what are forecasting techniques for commodities?
398754
regression method is the best forecast technique for commodities,\nbut also u can use the moving average method and weighted moving average method\nbut the regression method give u forecast for more than 3 periods of the commodities
413393
Best way is to check recent sales prices of other homes in the area.  Try domania.com.  As for what it will fetch in another year from now, no way to predict.
570107
Progresive.com will give you three estimates from their company and two others.\n\nhttp://www.progressive.com
1180092
For some top forecasts on gold’s direction, visit the site below:\n\nI like the real GOLD nuggets. \n\nAs most gold is mined as very fine dust and tiny nuggets, the larger (over 1oz) nuggets are very rare! Actually they are as rare as large diamonds!\n\nI would suggest you look into large nuggets!\n\nTo see the 'live' spot NY gold price and some museum size gold nuggets I suggest you visit a great site I found a few months ago. I purchase a few nuggets from them just about a month ago, and not only are they beautiful to look at but in just the last few weeks they have really moved up in value!\n\nI'm actually saving to purchase others!\n\nThe site is:\n http://www.california-gold-rush-miner.us\nhttp://www.california-gold-rush-miner.us/australia-gold-nuggets.htm\nhttp://www.california-gold-rush-miner.us/crystalline-gold-miner.htm\nhttp://california-gold-nuggets-miner.blogspot.com
906314
http://www.ers.usda.gov/db/Wto/AMS_database/Default.asp?ERSTab=3&view=DS5\n\nThis is a data base and you need to pull up each commodity you are interested in individually.  You will have to mark it product specific and the country and it will give you the figures.
374378
Sure, just let the feasible region describe the number of items you're going to sell, what they weigh, or how long it takes to make them.  None of those things can be negative.  With a little thought you should find dozens of examples.
761095
Lets assume you have all the information need on the receivables, cause you have the ongoing contract and the forecast on new customers and services coming from the marketing. \nCalculate ratios like receivable days, turnovers and liquidity ratio. \n\nIn relation to the liabilites divide them in \n\nFixed running costs, salaries, rent, office running costs and other related, the forecast of the above its much easy, i suppose you have the timing of these payment during the month.\n\nand \n\nin variable costs, services received form third parts in relation to your sales. \nTo make an accurate forecast make an analysis of the previous tendece of these costs on sales. \nThan based on the current service contracts and other forecasted for the future, ask this information to the management, take in consideration the terms of payments. \n\nMake a comparison between the terms of  payments in recevables and payables in the actual running contract and future contracts.\nThe same information compare with the previous tendece in the liabilities payments. \nIn case you notice a difference in decreasing payments gaps in the future use this, otherwise the previous tendece in order to be pesimistic to moderate in the forecast of the cash flows. \n\nThe percentage is not accurate in the liability side, try to make a more a forecast based on real contractual terms. its a hell of a work but it worths in relation to the accuracy of the future information.\n.
858259
- Profits, both past and predicted\n- dividend\n- sales, past and future\n- debt/capitalisation\n- position with respect to competiition\n- book value\n- some qualitive aspects  like: do I understand what they sell, is the management any good\n\nA quick and dirty method is Gordon's discounted cashflow model and it's improvements.
692802
Yes.  Check out the expert's forecast below...
862164
read this\n\nhttp://www.st.nmfs.gov/st1/fus/fus99/FAQ_value_added98.pdf#search='model%20value%20added%20chain'\n\nModel should include collaborative inventory forecast management, suppliers, order cycle, TMS, in house processes (receiving, order processing,tagging, etc), and delivery cycles.
487213
i try to keep up on this stuff, right now inventories are high and demand is lowering,,,however the price is staying high due to commodity traders anticapating a demand spike as summer gets closer.
880253
A COT (commitment of traders)  on Gold chart published here every Friday (EOD):\n\nhttp://www.321gold.com/cot_gold.html\n\nThere is a nice graph that includes data going back 6 months here on gold and silver here: Click on COT gold report on left.\n\nhttp://www.financialsense.com/metals/main.htm
519282
fast moving consumer goods
1128151
Try this out: Technological forecasting\n\nTechnological forecasting is aimed at predicting future technological capabilities, attributes, and parameters. It is not an attempt to predict how things will be done. Nor is technological forecasting oriented toward profitability. That is, a technological capability or attribute can be forecast to be available at some time in the future, although society may not necessarily want or need the capability.\n\nConsider the process of technological innovation. Many factors influence the progress and direction of technology. For example, science, organizational policy, organization structure, chance, need, and funding all play major roles in determining what technologies are likely to be available to us in the future.\n\nGovernmental decisions to support some technologies and not others have a significant impact on technological innovation. For instance, the decision to support the space program had major impacts on miniaturization in the electronics industry, on the use of new materials and styles in the garment industry, and even on the look of television commercials. The federal government's decision not to support the SST affected the technology of air transport in the United States. if technological forecasting predicts that a certain capability is technologically within our reach in the near future, and if the government chooses to support research in this area, it is much more likely that the technology will be developed-for example, new approaches to the generation of electric power. if the government decides to finance implementation of the desired innovation, there will probably be a near-term impact on profits and the speed of diffusion of the new technology.\n\nAnother characteristic of technological forecasting is uncertainty about the rate of change of technological capabilities. Many capabilities tend to grow exponentially until they reach some natural limit: for example, aircraft speed, computer memory size and memory access speed, horsepower per liter of internal combustion engines, among many others. This is because new technology builds on older technology, and synergism results from the combination. When one technology impinges on another, the synergy often results in an unexpected and sudden increase in capability. For instance, the development of microcomputers depended on the combined technologies of electronic computer circuitry, miniaturization of electronic circuits, efficient computer programming, and development of information storage devices, Such synergies are difficult to forecast. In the early 1950s, noted science fiction author Isaac Asimov wrote a short story set five hundred years in the future. One artifact featured in this story of the future was a small, hand-held device that could perform complex mathematical calculations when its buttons were properly pushed.\n\nThe fact that a new capability is developed does not automatically mean that it will be put to use. The files of the Patent Bureau are jammed with useless inventions. The lack of application potential does not, of course, mean that the capability or scientific finding is worthless. There are many examples of important technological advances that rest on seemingly nonapplicable earlier discoveries. A case in point is Albert Einstein's work on special and general relativity. it depended on earlier work of the mathematician Hendrik Lorentz, work that had no apparent application to physics when it was originally published.\n\nAlthough varying greatly from industry to industry, the embodiment of a scientific discovery, an innovation, has traditionally lagged the discovery itself, the invention, by five to seven years [30, 39]. More recently, competitive pressures in worldwide markets have tended to shorten these lags, but they are still significant. Once the innovation is developed, its adoption is also not instantaneous, often taking between 10 and 20 years to reach the point of market sa
720448
Sales estimates, inventory levels, raw material prices, interest rates, labor availability & costs.\n\nLots of stuff to consider.
4315
Impossible to accurately predict but my guess would be not much more.\n\nWe have recently seen that the first signs of selling could lead to a sudden drop:\nhttp://news.ft.com/cms/s/9a0be6b4-6ea1-11da-9544-0000779e2340.html\nand central banks also want to reduce their gold levels in the long term.\n\nSome people also believe that there is often less demand for gold after Christmas, so I'm not optimistic for gold in the new year.  If I had to put a figure on it, my wild guess would be a drop to $480 by the end of January and then lower after that.  This is pure speculation, however.
120362
It depends on what your goals are.\n\nTraders trade on news and daily price movements.\n\nInvestors hold for the long run.\n\nTry the top down approach: think about what services/products will be in demand in the next few years, and then find out which companies are set to take the reins to supply that demand in the coming years.\n\nGood Luck!