This page contains a Flash digital edition of a book.
In the case of rainfalls, the most proper computation structure for the indices would be that under the form of some averages regarding the levels of rainfalls in certain areas and their intensity (the maximum in a certain period). The wind speed could be at its turn a basic asset for agriculture, the in-


dices being calculated in a similar manner as the previous ones. For the farm operators, the value of these indices should be found at a low level. Another support asset could be considered the number of shiny days. It


is well-known the fact that the lack of sun during some phases with reference to the development of some wine crops influences the grapes quality. As far as the index on shiny days is concerned, the farmers will benefit from a high level of this one. For the creation and the successfully managing of these contracts, it is


of great importance that the weather data collection centers be independent from the parties involved in the contracts in order to ensure the market trans- parency and to give a feeling of trust with regard to these financial instru- ments. Moreover, in order the make possible the evaluation of these assets, it is necessary a historical data base. In addition, one cannot imagine a market in which the operators should have confidence in without the development of evaluation models.


As the farming sector is characterized by the fact that a single crop is


affected by more factors in a different way (humidity, temperature, rainfalls), the most appropriate solution would be that of building some weather deriva- tives for which the support be a complex of the involved factors. An important element linked to the weather derivatives refers to their transparency. This must be ensured by offering those who transact on these markets the relevant information, connected to the indices determination: the location (the meteorological station) where the contracts are traded, the con- tract’s parameters, the modality of calculation and the frequency. Although it is mentioned that the weather risk can be transferred into the


market to some speculators, we can imagine a situation in which this one can be targeted towards those companies in sectors characterized by divergent risks with regard to the same meteorological event. An important perspective in this respect, for the farming sector in Roma-


nia, refers to the possibility of simultaneously covering the risks in the hydro- energetic sector and in the agricultural one. As the companies in the hydro- energetic industry depend both on the temperature and on the rainfalls, one can imagine contracts that encompass the two types of meteorological phe- nomena. In addition, taking into account the fact that risks regarding rainfalls and temperature in agriculture are compensated with those in the mentioned industry, one can appreciate that there is the possibility of ensuring a mini- mum initial liquidity of the weather derivatives market by writing contracts for the actors within the two sectors. Also, under the conditions of existence of indices regarding the global


heating, there can be shaped weather derivatives contracts for the covering of 136


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144  |  Page 145  |  Page 146  |  Page 147  |  Page 148  |  Page 149  |  Page 150  |  Page 151  |  Page 152  |  Page 153  |  Page 154  |  Page 155  |  Page 156  |  Page 157  |  Page 158  |  Page 159  |  Page 160  |  Page 161
Produced with Yudu - www.yudu.com