Binciken Zuba Jari a LAND na Metaverse: Muhimmancin Ma'aunin Kuɗi

1. Gabatarwa

Fitowar metaverses na tushen blockchain tana wakiltar sauyi a cikin tattalin arzikin dijital. Ba kamar duniyoyin na'ura na gargajiya ba, dandamali kamar The Sandbox suna amfani da fasahar blockchain na jama'a don ƙirƙirar ingantaccen tsarin kadarorin dijital. The Sandbox, wanda aka fara kaddamar a cikin 2012, an sake gina shi akan Ethereum a cikin 2018, yana gabatar da LAND NFTs - fakitin ƙasa na dijital waɗanda suka zama tushen tattalin arzikinsa na zahiri.

Mallakar LAND tana aiki da manufa biyu: samun kudaden shiga ta hanyar haɓaka wasa da abubuwan more rayuwa, da kuma zuba jari ta hanyar cinayar kasuwa na biyu. Shigar da manyan kamfanoni kamar Adidas, Atari, da Binance, tare da shahararrun mutane irin su Snoop Dogg, suna nuna ƙarfin sha'awar manyan abubuwan ga ƙasar metaverse.

2. Bayanai da Hanyar Bincike

2.1 Tattara Bayanai

Binciken ya bincika cinikai sama da 71,000 na LAND daga Disamba 2019 zuwa Janairu 2022, an samo su kai tsaye daga bayanan blockchain na Ethereum kuma an ƙara da bayanan The Sandbox API. Wannan cikakken bayanan ya haɗa da tallace-tallace na kasuwa na farko (kai tsaye daga The Sandbox) da cinayoyin kasuwa na biyu (ta OpenSea).

2.2 Tsarin Bincike

Binciken yana amfani da hedonic pricing regressions da binciken maimaita tallace-tallace don ware ainihin ƙimar farashi daga bambance-bambancen inganci. Babban samfurin binciken ana iya wakilta shi kamar haka:

$P_{i,t} = \alpha + \beta X_i + \gamma_t + \epsilon_{i,t}$

Inda $P_{i,t}$ ke wakiltar farashin LAND i a lokacin t, $X_i$ ya ɗauki halayen LAND (daidaitawa, girman, haɗin kai), kuma $\gamma_t$ yana wakiltar tasirin lokaci.

3. Muhimman Binciken

3.1 Tasirin Kudin da Aka Yi Amfani Da Shi

Mafi girman binciken da aka gano ya nuna bambance-bambance masu ban mamaki a kan ribar zuba jari dangane da ma'aunin kuɗi. Yayin da farashin LAND ya karu da fiye da sau 300 idan aka auna shi da USD tsakanin Disamba 2019 da Janairu 2022, irin wannan zuba jarin ya nuna ribar sau 3 kawai lokacin da aka auna shi da alamun SAND.

3.2 Bambance-bambance a Farashin Ciniki

Bincike ya nuna bambance-bambance masu mahimmanci a farashi dangane da kuɗin da aka yi amfani da shi:

• Cinikai na SAND: ƙarin kuɗi na 3-4% idan aka kwatanta da ETH
• Cinikai na wETH: rangwamen kuɗi na 30% idan aka kwatanta da ETH
• Cinikai na ETH: Farashin asali

4. Bincike na Fasaha

Binciken ya nuna abubuwan da suka shafi tsarin Brunnermeier et al. (2019) na dijital na kuɗi a cikin tattalin arzikin zahiri. Aikin ma'aunin kuɗi ya zama mahimmanci musamman a cikin tsarin tushen blockchain inda kudade da yawa suke tare.

Misalin Aiwar Code:

// Pseudocode don lissafin ribar da aka daidaita
function calculateAdjustedReturns(transactions, baseCurrency) {
  returns = []
  for each transaction in transactions {
    purchasePrice = convertToBase(transaction.purchaseAmount, 
                                 transaction.purchaseCurrency, 
                                 baseCurrency,
                                 transaction.purchaseDate)
    salePrice = convertToBase(transaction.saleAmount,
                             transaction.saleCurrency,
                             baseCurrency,
                             transaction.saleDate)
    return = (salePrice - purchasePrice) / purchasePrice
    returns.push(return)
  }
  return returns
}

5. Abubuwan Da Suka Shafi Zuba Jari

6. Ayyuka na Gaba

Abubuwan da aka gano suna da tasiri mai zurfi ga tattalin arzikin blockchain gabaɗaya:

• Tsarin kimanta tsakanin metaverses: Haɓaka ma'auni don kwatanta kadarorin dijital a cikin tattalin arziki daban-daban na zahiri
• Haɗin kai na Stablecoin: Yuwuwar kadarorin metaverse da aka auna da stablecoin don rage haɗarin kuɗi
• La'akari da ka'idoji: Ta yaya hukumomin haraji za su bi da waɗannan ribar da aka auna da kuɗi?
• Manufofin kuɗi a cikin tattalin arzikin zahiri: Masu sarrafa dandamali na iya amfani da waɗannan fahimta don ƙirƙirar mafi kyawun samfuran tattalin arzikin alama

7. Nassoshi

1. Brunnermeier, M. K., James, H., & Landau, J. P. (2019). The digitalization of money. NBER Working Paper No. 26300.
2. Goldberg, et al. (2021). Metaverse Real Estate Returns. Journal of Digital Economics.
3. Dowling, M. (2022). Fertile LAND: Pricing virtual real estate in the metaverse. Finance Research Letters.
4. Zhu, J. Y., et al. (2017). Unpaired image-to-image translation using cycle-consistent adversarial networks. ICCV 2017. (Nassin CycleGAN don kwatanta hanyoyin)
5. CoinGecko. (2022). Cryptocurrency price data. Retrieved from coingecko.com